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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. 4461
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    Explanations

    mentions of strict rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to strict rules or regulations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ilater
    -0.90
    assies
    -0.86
    ********
    -0.79
    igate
    -0.78
    FORE
    -0.74
    querade
    -0.73
    ovember
    -0.71
    NetMessage
    -0.70
    ****
    -0.69
    ************
    -0.68
    POSITIVE LOGITS
     adherence
    1.17
    ures
    1.15
    ness
    0.99
     strict
    0.93
     adherent
    0.88
    nesses
    0.88
     deviations
    0.86
     restrictive
    0.84
     enforcement
    0.83
    bred
    0.82
    Activations Density 0.024%

    No Known Activations