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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. 11401
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    Explanations

    names of individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals' names

    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
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.82
    omething
    -0.79
    ements
    -0.76
    initialized
    -0.75
    ktop
    -0.71
    inates
    -0.71
    eu
    -0.71
    roups
    -0.70
    agers
    -0.69
    atem
    -0.68
    POSITIVE LOGITS
     Slater
    0.79
     Clarke
    0.76
     Porter
    0.74
     MacArthur
    0.73
     Cyrus
    0.72
     Rae
    0.71
    quist
    0.71
     Shepherd
    0.70
     Coulter
    0.69
     Baldwin
    0.69
    Activations Density 0.072%

    No Known Activations