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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the country "England"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the country England

    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
    dq
    -0.85
    henko
    -0.80
    heny
    -0.79
    PsyNetMessage
    -0.77
    inventoryQuantity
    -0.76
    EStreamFrame
    -0.76
    onday
    -0.76
    ebin
    -0.75
    awaru
    -0.75
    emonic
    -0.73
    POSITIVE LOGITS
     Yard
    0.90
    shire
    0.89
     Spit
    0.85
     Literature
    0.83
     Volunteers
    0.83
     England
    0.75
     Hills
    0.74
    England
    0.74
     Crown
    0.73
    ury
    0.73
    Activations Density 0.009%

    No Known Activations