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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. 18348
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    INDEX
    Explanations

    specific verbs related to actions being performed on objects

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding quantities or conditions involving objects or entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Reading
    -0.71
    rawdownloadcloneembedreportprint
    -0.70
    advertisement
    -0.70
    ="#
    -0.67
    Honest
    -0.65
     Investigative
    -0.64
    Dispatch
    -0.63
    Know
    -0.62
    Truth
    -0.62
    Opening
    -0.60
    POSITIVE LOGITS
     dominated
    1.04
     preferred
    0.95
     preferable
    0.94
     dominate
    0.90
     predomin
    0.88
     favored
    0.86
     typically
    0.86
     favoured
    0.86
     mostly
    0.83
     narrower
    0.83
    Activations Density 0.598%

    No Known Activations