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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. 3-RES-JB
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    Explanations

    mentions of prominent figures in various fields

    oai_token-act-pair · gpt-3.5-turbo

    the term "prominent" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ope
    -0.77
    aves
    -0.70
    ramid
    -0.70
    ibus
    -0.69
    claimer
    -0.67
    ework
    -0.67
    ceans
    -0.66
    ander
    -0.66
    headers
    -0.66
    neg
    -0.65
    POSITIVE LOGITS
     personalities
    0.91
     prominent
    0.85
     commentator
    0.77
     finan
    0.74
     roles
    0.73
     prominence
    0.72
     enough
    0.71
     dent
    0.71
     role
    0.70
    doms
    0.70
    Activations Density 0.022%

    No Known Activations