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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. 1-RES-JB
    11. 8027
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    Explanations

    references to a specific individual named "Hunter"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual named Hunter

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -1.03
    itutional
    -0.83
    ible
    -0.76
    iment
    -0.74
    acle
    -0.73
    ations
    -0.73
    edu
    -0.72
    acles
    -0.71
    rella
    -0.70
    advert
    -0.70
    POSITIVE LOGITS
     Hunter
    1.14
    hunter
    0.98
     hunter
    0.96
    Hunter
    0.94
    hound
    0.80
     Hunting
    0.80
    stown
    0.80
    eteenth
    0.77
    brush
    0.77
     hunters
    0.76
    Activations Density 0.008%

    No Known Activations