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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. 8-RES-JB
    11. 4098
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    Explanations

    specific needs or requirements in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific needs within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é¾
    -0.71
     Bom
    -0.69
    âĸ¬
    -0.67
    ourning
    -0.63
    wikipedia
    -0.61
    alty
    -0.60
    ama
    -0.59
     rook
    -0.59
    shock
    -0.58
    ateur
    -0.58
    POSITIVE LOGITS
    cale
    0.88
    lessly
    0.88
     fulfilled
    0.77
    giving
    0.75
     dictate
    0.74
    igslist
    0.70
    ocial
    0.67
     domestically
    0.66
    afety
    0.66
     dictates
    0.66
    Activations Density 0.049%

    No Known Activations