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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. 3434
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    Explanations

    words related to desperation or urgent need

    oai_token-act-pair · gpt-3.5-turbo

    expressions of urgent need or desperation

    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
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    No Comments

    Negative Logits
    arthed
    -0.94
    roma
    -0.79
    ositories
    -0.74
    gemony
    -0.71
    cript
    -0.70
    gang
    -0.69
    rats
    -0.68
    nesota
    -0.68
    notations
    -0.67
    eder
    -0.67
    POSITIVE LOGITS
     pleas
    0.86
     desperately
    0.81
     Measures
    0.80
     necessity
    0.79
     plea
    0.77
     desperate
    0.76
     HUN
    0.74
    TY
    0.74
     scramble
    0.74
     attempts
    0.73
    Activations Density 0.054%

    No Known Activations