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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. 4-RES-JB
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    Explanations

    words related to 'will' and volition

    oai_token-act-pair · gpt-3.5-turbo

    references to expressions of will and authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    selves
    -0.65
     Diet
    -0.60
     sadd
    -0.59
    stood
    -0.57
     belts
    -0.57
     Mn
    -0.57
    orget
    -0.57
    lished
    -0.56
     certific
    -0.55
     Pug
    -0.55
    POSITIVE LOGITS
    rib
    0.85
    ows
    0.82
    usal
    0.77
    iva
    0.75
    iam
    0.75
    othermal
    0.73
    pad
    0.72
    rael
    0.72
    ps
    0.72
    azeera
    0.71
    Activations Density 0.223%

    No Known Activations