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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. 6-RES-JB
    11. 14665
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    Explanations

    references to gambling-related activities and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to gambling and its consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.82
    ahead
    -0.81
    20439
    -0.80
    illin
    -0.77
    ģ«
    -0.74
    ĺħ
    -0.72
    atures
    -0.69
    ŃĶ
    -0.69
    inki
    -0.67
    éĸ
    -0.67
    POSITIVE LOGITS
     gambling
    1.04
     gamb
    1.03
     betting
    1.01
     casino
    0.91
     gamble
    0.90
    Ö¼
    0.85
     casinos
    0.84
    cohol
    0.82
    raud
    0.79
     bets
    0.79
    Activations Density 0.025%

    No Known Activations