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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. 564
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    Explanations

    mentions of specific keywords related to the name "Bodleian" or "Bod", possibly indicating a focus on a particular topic or entity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Bod" and references to various sports teams, with a particular emphasis on the Bears and Dolphins

    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
    apo
    -0.76
    ellar
    -0.75
    ourning
    -0.73
     Nero
    -0.72
    oppable
    -0.71
    areth
    -0.69
    athe
    -0.67
    ricting
    -0.65
    oting
    -0.64
    alogue
    -0.63
    POSITIVE LOGITS
    bard
    0.75
    ys
    0.73
    ername
    0.73
    peed
    0.72
    hid
    0.72
    achev
    0.70
    ability
    0.70
    IGH
    0.70
    gans
    0.70
    wig
    0.70
    Activations Density 0.061%

    No Known Activations