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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

    the name "Hogan"

    oai_token-act-pair · gpt-3.5-turbo

    references to a person named Hogan

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aution
    -0.78
    iterranean
    -0.76
    enza
    -0.74
    reen
    -0.74
    ERAL
    -0.71
    nesota
    -0.70
    aeda
    -0.70
    ngth
    -0.69
    PsyNetMessage
    -0.69
    urized
    -0.68
    POSITIVE LOGITS
     Hogan
    1.20
    pin
    0.72
     McMahon
    0.70
    lord
    0.70
     Suit
    0.68
    lings
    0.68
    stein
    0.67
     Ic
    0.65
     Auditor
    0.64
     Bros
    0.63
    Activations Density 0.009%

    No Known Activations