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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. 4-RES-JB
    11. 10285
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and organizations

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

    No Comments

    Negative Logits
    ividual
    -0.74
     explanatory
    -0.73
     Pastebin
    -0.73
     sidx
    -0.72
     dracon
    -0.70
     scatter
    -0.69
     aisle
    -0.69
    displayText
    -0.69
     chronological
    -0.68
    ioxide
    -0.67
    POSITIVE LOGITS
     Wyn
    0.88
     Wong
    0.84
     Ni
    0.80
     Nguyen
    0.78
    imar
    0.76
     Cunningham
    0.75
     Norman
    0.75
     Nielsen
    0.74
     Thompson
    0.73
    Nap
    0.72
    Activations Density 0.373%

    No Known Activations