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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. 12485
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    INDEX
    Explanations

    mentions of the name "Jay"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Jay

    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
    cffff
    -0.89
    htaking
    -0.80
    milo
    -0.78
    osion
    -0.75
    ancial
    -0.75
     srf
    -0.73
    rontal
    -0.72
    ¥ŀ
    -0.71
     stocking
    -0.70
    ilial
    -0.69
    POSITIVE LOGITS
    hawks
    1.10
    Jay
    1.09
    hawk
    1.06
     Jay
    1.00
    jay
    0.96
     Aj
    0.88
    walking
    0.82
    lon
    0.80
    mons
    0.80
    haw
    0.79
    Activations Density 0.006%

    No Known Activations