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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. 7-RES-JB
    11. 14212
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    Explanations

    information related to the Rhine region or river

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rhinoceroses

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    FontSize
    -0.76
     certific
    -0.74
     pestic
    -0.72
    HCR
    -0.68
    Http
    -0.67
    ongyang
    -0.66
     fundament
    -0.65
    cano
    -0.64
     zoning
    -0.64
     sugg
    -0.64
    POSITIVE LOGITS
    arb
    0.74
    ashtra
    0.73
    venth
    0.72
    estone
    0.71
    gged
    0.69
    warts
    0.69
    kh
    0.67
    cus
    0.67
    aways
    0.67
    eland
    0.66
    Activations Density 0.113%

    No Known Activations