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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. 12008
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    Explanations

    references to compliance with rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to compliance with regulations or laws

    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
    Not in Any Lists

    No Comments

    Negative Logits
     quarrel
    -0.74
    nl
    -0.63
     rift
    -0.62
    iewicz
    -0.62
     Friendship
    -0.62
     rage
    -0.60
    gallery
    -0.60
    front
    -0.59
     gore
    -0.58
     Lazarus
    -0.57
    POSITIVE LOGITS
     comply
    0.93
     with
    0.87
     withd
    0.81
     complying
    0.79
    ibilities
    0.76
    encia
    0.75
    compliance
    0.74
     voluntarily
    0.74
    encies
    0.73
    ences
    0.72
    Activations Density 0.046%

    No Known Activations