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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23220
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    Explanations

    relevant notes or warnings provided in text

    oai_token-act-pair · gpt-3.5-turbo

    repeated notes or warnings throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    raq
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    bled
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    externalActionCode
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    oise
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     saddle
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    orate
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    ifer
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    oire
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     sack
    -0.63
    lled
    -0.62
    POSITIVE LOGITS
    THIS
    0.93
     Restaur
    0.92
     Due
    0.92
     THESE
    0.86
     Whilst
    0.85
     Contains
    0.84
     This
    0.83
     Requires
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     THIS
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     Cannot
    0.80
    Activations Density 0.133%

    No Known Activations