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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. 9-RES-JB
    11. 1963
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    INDEX
    Explanations

    minerals and commodities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to minerals and commodities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abouts
    -0.82
    hiba
    -0.80
    stretched
    -0.76
     largeDownload
    -0.76
    peed
    -0.74
    uthor
    -0.74
    qus
    -0.74
    andowski
    -0.73
    aii
    -0.71
    ynski
    -0.71
    POSITIVE LOGITS
    icity
    0.94
     designation
    0.89
    ry
    0.88
     mixture
    0.79
     substitution
    0.79
    icide
    0.78
    ization
    0.77
     residue
    0.77
     cocktail
    0.75
    ogy
    0.75
    Activations Density 0.206%

    No Known Activations