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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. 452
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    Explanations

    instructions or steps outlined in a list format

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating instructions or guidelines

    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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    Negative Logits
    adle
    -0.78
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    obyl
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    orgetown
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    govtrack
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    orc
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    deal
    -0.67
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    éŃĶ
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    access
    -0.65
    POSITIVE LOGITS
     follows
    0.89
     steps
    0.74
    Sym
    0.74
     defaults
    0.73
     subsections
    0.73
     commands
    0.73
    LLOW
    0.72
     specifies
    0.70
     sections
    0.69
     below
    0.67
    Activations Density 0.036%

    No Known Activations