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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. 11-RES-JB
    11. 804
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    Explanations

    statements of acknowledgment and apology

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating acknowledgment of responsibility or regret

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.87
     endif
    -0.77
    govtrack
    -0.77
    ?).
    -0.74
     feds
    -0.73
     clout
    -0.72
    bang
    -0.68
     payoff
    -0.68
    Pg
    -0.67
     TAMADRA
    -0.67
    POSITIVE LOGITS
     regrett
    1.18
     inappropriate
    0.97
     unfortunate
    0.93
     our
    0.91
     unacceptable
    0.91
     saddened
    0.90
     insensitive
    0.86
     adversely
    0.85
     unfortunately
    0.85
     tragic
    0.84
    Activations Density 0.703%

    No Known Activations