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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. 11-RES-JB
    11. 21777
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    INDEX
    Explanations

    mentions of business firms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of companies or firms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bian
    -0.86
    vernment
    -0.69
    OUS
    -0.68
    jri
    -0.66
    elaide
    -0.66
    grain
    -0.65
     nonex
    -0.64
    izable
    -0.64
    archives
    -0.63
    vim
    -0.62
    POSITIVE LOGITS
    ament
    1.10
     specializing
    1.00
    orpor
    0.83
     Perkins
    0.81
     hired
    0.79
    orah
    0.78
    aments
    0.77
     outsourcing
    0.75
    omon
    0.73
     Ernst
    0.73
    Activations Density 0.038%

    No Known Activations