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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
    11. 13596
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    Explanations

    references to a specific location or person named Beau in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Beau" and secondary mentions of "Faulkner."

    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
    iated
    -0.70
    igators
    -0.68
    Drug
    -0.66
    ifling
    -0.65
    DNA
    -0.65
    ORY
    -0.64
    IUM
    -0.63
    Redditor
    -0.62
    arity
    -0.62
    igating
    -0.62
    POSITIVE LOGITS
     Beau
    0.93
    auld
    0.91
    lette
    0.88
    fort
    0.85
    ignty
    0.83
    unci
    0.83
    font
    0.81
    eret
    0.79
    izon
    0.79
    bold
    0.79
    Activations Density 0.007%

    No Known Activations