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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. 8807
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    Explanations

    references to locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ļéĨĴ
    -0.80
    ical
    -0.71
    zees
    -0.67
    enegger
    -0.65
    ption
    -0.64
    =-=-=-=-=-=-=-=-
    -0.64
     corpus
    -0.63
    terior
    -0.62
    ulous
    -0.62
    QL
    -0.60
    POSITIVE LOGITS
     Petersburg
    1.14
     Clair
    0.96
     Jude
    0.95
     Louis
    0.94
     Augustine
    0.94
     Germ
    0.89
     Vincent
    0.88
     Laurent
    0.84
    rict
    0.83
     Johns
    0.82
    Activations Density 0.028%

    No Known Activations