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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. 16481
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    Explanations

    action-oriented and directive language involving urging, demanding, or commanding

    oai_token-act-pair · gpt-3.5-turbo

    statements calling for accountability or recognition of important issues

    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
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    No Comments

    Negative Logits
     fluct
    -0.63
    erie
    -0.62
    bour
    -0.60
    agues
    -0.59
     flanked
    -0.59
     triv
    -0.58
    cade
    -0.58
     tantal
    -0.57
    ipop
    -0.57
     unprotected
    -0.56
    POSITIVE LOGITS
     heed
    0.93
     accountable
    0.93
     urgently
    0.89
     humility
    0.89
     ASAP
    0.88
     decency
    0.88
     responsibly
    0.86
    arations
    0.84
     accountability
    0.84
     sooner
    0.81
    Activations Density 0.409%

    No Known Activations