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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 word "Wright" with varying activations, possibly focusing on a specific context or person named Wright

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Wright."

    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
    amaz
    -0.82
    ãĥ´
    -0.80
    inators
    -0.79
    abwe
    -0.77
    uate
    -0.74
    ãĥł
    -0.72
    alities
    -0.69
    amus
    -0.69
     foss
    -0.68
    ãĥĸ
    -0.68
    POSITIVE LOGITS
     Wright
    1.03
    eta
    0.89
    sburg
    0.84
    esome
    0.84
    yard
    0.82
     Industries
    0.80
    edge
    0.79
    y
    0.79
    wright
    0.78
     Mills
    0.77
    Activations Density 0.009%

    No Known Activations