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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. 13854
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    Explanations

    phrases related to statistics and data

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantities or measurements

    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
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    No Comments

    Negative Logits
    chenko
    -0.80
    angelo
    -0.68
    edin
    -0.67
    Witness
    -0.64
    ipple
    -0.63
    sonian
    -0.63
    isphere
    -0.62
    orean
    -0.62
    ãĤī
    -0.62
    hess
    -0.62
    POSITIVE LOGITS
     purposes
    1.18
    bidden
    1.06
    geries
    0.97
     example
    0.97
     instance
    0.95
    gotten
    0.95
    aging
    0.94
    ked
    0.93
     starters
    0.91
     comparison
    0.91
    Activations Density 0.163%

    No Known Activations