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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. 23111
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    INDEX
    Explanations

    sports teams or related terms

    oai_token-act-pair · gpt-3.5-turbo

    plurals and proper nouns related to sports teams

    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
    quickShipAvailable
    -0.66
    lements
    -0.63
    changes
    -0.63
    thumbnails
    -0.63
     intervals
    -0.62
    req
    -0.62
    cells
    -0.62
     increments
    -0.62
    wise
    -0.61
     fert
    -0.60
    POSITIVE LOGITS
    '
    1.17
    heet
    0.97
     mascot
    0.96
    hene
    0.90
     Athletic
    0.89
    hirt
    0.88
    liga
    0.87
     Athletics
    0.84
    boro
    0.80
    utra
    0.80
    Activations Density 0.111%

    No Known Activations