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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. 10-RES-JB
    11. 16607
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    Explanations

    names of individuals, specifically the name "Lee"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Lee."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rontal
    -0.78
    orate
    -0.69
    security
    -0.67
    icted
    -0.64
    unct
    -0.64
    ALLY
    -0.64
    ional
    -0.63
    omething
    -0.63
    ICAN
    -0.63
    ties
    -0.63
    POSITIVE LOGITS
    Anne
    1.04
     Stras
    0.88
     Harvey
    0.87
    utenant
    0.85
    lee
    0.84
    warm
    0.84
    wei
    0.83
    vel
    0.77
    vers
    0.77
    ppa
    0.76
    Activations Density 0.020%

    No Known Activations