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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. 3-RES-JB
    11. 15151
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    Explanations

    specific locations

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns, particularly names of organizations or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Divide
    -0.68
    dry
    -0.67
    orest
    -0.65
    raved
    -0.65
    balanced
    -0.64
    closed
    -0.64
    balance
    -0.64
    closure
    -0.64
     largeDownload
    -0.63
    grain
    -0.62
    POSITIVE LOGITS
     Newport
    0.85
     Marse
    0.73
     Cologne
    0.73
     scrimmage
    0.71
     Eug
    0.70
     Franch
    0.69
     Rubin
    0.67
     Juventus
    0.66
    Cru
    0.66
    Arsenal
    0.65
    Activations Density 0.000%

    No Known Activations