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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. 1274
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    Explanations

    numbers and quantities mentioned in a context related to statistics or data

    oai_token-act-pair · gpt-3.5-turbo

    financial figures and statistics related to costs and budgets

    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
     Whilst
    -0.82
     proverb
    -0.71
    borgh
    -0.69
    Truth
    -0.69
    BBC
    -0.68
    æĿ
    -0.68
    å¥
    -0.67
    gamer
    -0.67
    ä½ľ
    -0.67
    inent
    -0.66
    POSITIVE LOGITS
     its
    1.17
     fewer
    1.05
     those
    1.01
     additional
    0.94
     them
    0.87
     remaining
    0.86
     175
    0.85
     roughly
    0.84
     160
    0.81
     excess
    0.81
    Activations Density 0.468%

    No Known Activations