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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. 13150
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    Explanations

    instances where someone is willing to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a readiness or willingness to take action or make sacrifices

    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
    hemy
    -0.88
    oche
    -0.81
    rx
    -0.73
    ESE
    -0.72
    VERTISEMENT
    -0.70
    urgy
    -0.70
    eatures
    -0.69
     Anthem
    -0.69
    kay
    -0.69
    brance
    -0.67
    POSITIVE LOGITS
     to
    0.89
     willing
    0.83
     willingly
    0.78
     gladly
    0.77
     ta
    0.77
     participants
    0.76
     accept
    0.75
     participant
    0.74
     enough
    0.74
     admit
    0.73
    Activations Density 0.049%

    No Known Activations