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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. 3-RES-JB
    11. 1552
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    liest
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    ledged
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    oshenko
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    undreds
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    ividual
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    agara
    -0.64
    oing
    -0.61
    iggle
    -0.60
    oya
    -0.60
    culus
    -0.60
    POSITIVE LOGITS
     Additionally
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     While
    0.73
     Meanwhile
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     Regardless
    0.71
     etc
    0.70
     Though
    0.69
     Specifically
    0.68
     Similar
    0.68
     Naturally
    0.68
     Besides
    0.68
    Activations Density 1.972%

    No Known Activations