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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. 2-RES-JB
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    Explanations

    the name "Cameron" at various activation levels

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Cameron."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irements
    -0.90
    ĪĴ
    -0.85
    ¥µ
    -0.78
    hips
    -0.73
    nesota
    -0.73
    Journal
    -0.73
    ĻĤ
    -0.71
    Correct
    -0.69
    İĭ
    -0.68
     fixme
    -0.67
    POSITIVE LOGITS
     Cameron
    1.04
    ameron
    0.90
    illo
    0.81
     Slater
    0.79
     Pearce
    0.78
     Ridley
    0.76
    airo
    0.74
     Osborne
    0.73
     Wink
    0.72
     Diaz
    0.72
    Activations Density 0.006%

    No Known Activations