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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. 8-RES-JB
    11. 18465
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    Explanations

    statements related to accepting or taking responsibility

    oai_token-act-pair · gpt-3.5-turbo

    references to personal or collective responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ugen
    -0.76
    vae
    -0.73
    wikipedia
    -0.70
    corn
    -0.70
    tering
    -0.69
    ropolis
    -0.68
    quart
    -0.66
    TERN
    -0.64
    ergy
    -0.64
    inton
    -0.63
    POSITIVE LOGITS
     responsibility
    1.00
     responsibilities
    0.96
     delegated
    0.87
    lessness
    0.85
     owed
    0.82
     culp
    0.81
    ignty
    0.79
     Responsibility
    0.79
     responsibly
    0.77
    lessly
    0.74
    Activations Density 0.031%

    No Known Activations