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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. 8-RES-JB
    11. 11962
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    parenthetical and bracketed phrases or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     buoy
    -0.72
     cog
    -0.70
     orn
    -0.68
     dense
    -0.68
     Leilan
    -0.68
     ($)
    -0.67
     redu
    -0.67
     irresist
    -0.66
     fanc
    -0.66
     toe
    -0.64
    POSITIVE LOGITS
    sic
    1.76
    laughs
    1.48
    emphasis
    1.20
    Laughs
    1.12
    insert
    1.12
    during
    1.09
    Wednesday
    1.08
    being
    1.08
    âĢ¦)
    1.07
    ?]
    1.05
    Activations Density 0.080%

    No Known Activations