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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. 9-RES-JB
    11. 16084
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    Explanations

    mentions of responsible behavior or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to responsibility and responsible behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chu
    -0.75
    frey
    -0.72
    stals
    -0.72
     mirac
    -0.69
    ammy
    -0.68
    bows
    -0.68
     tantal
    -0.68
    forts
    -0.66
    yip
    -0.65
    OUT
    -0.65
    POSITIVE LOGITS
     behaviour
    0.99
     behavior
    0.97
     citizen
    0.89
     entreprene
    0.88
     governance
    0.84
    tarian
    0.84
     stewards
    0.84
     adult
    0.81
     manner
    0.79
     conduct
    0.78
    Activations Density 0.140%

    No Known Activations