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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. 7-RES-JB
    11. 23506
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    Explanations

    proper nouns related to a specific place, likely named "Aggieland."

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports team or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.82
    gence
    -0.74
    ging
    -0.74
    bub
    -0.70
    ãĥ¯
    -0.68
     vac
    -0.64
     crawl
    -0.63
    é»Ĵ
    -0.62
    uese
    -0.61
    kson
    -0.60
    POSITIVE LOGITS
    hire
    0.81
    idem
    0.80
    rum
    0.78
    ebook
    0.78
    rop
    0.77
    daq
    0.77
    eed
    0.75
    Sax
    0.75
    iability
    0.75
    ively
    0.74
    Activations Density 0.089%

    No Known Activations