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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. 6-RES-JB
    11. 4483
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    Explanations

    proper nouns, specifically names like "Harris."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Harris"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.75
    rious
    -0.72
    yip
    -0.69
    UE
    -0.68
    ition
    -0.65
    uers
    -0.64
     privilege
    -0.63
    unal
    -0.62
    erous
    -0.62
    zzi
    -0.61
    POSITIVE LOGITS
    burg
    1.16
    mann
    0.94
    abis
    0.90
    ippi
    0.83
    alez
    0.82
    kins
    0.80
    iday
    0.79
    ONEY
    0.77
    burgh
    0.77
    itant
    0.76
    Activations Density 0.018%

    No Known Activations