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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. 6-RES-JB
    11. 6364
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    INDEX
    Explanations

    proper nouns related to a specific location

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Winnipeg and its associated sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arist
    -0.99
    asin
    -0.90
    ayne
    -0.87
    milo
    -0.80
    illus
    -0.77
    vae
    -0.76
    aeda
    -0.76
    nces
    -0.76
    avage
    -0.75
    eat
    -0.74
    POSITIVE LOGITS
    ipeg
    1.19
     Winnipeg
    1.15
     Jets
    1.13
     Manitoba
    1.08
     Canadians
    0.92
     Saskatchewan
    0.91
    shire
    0.88
     Province
    0.86
     Moose
    0.85
     Oilers
    0.84
    Activations Density 0.028%

    No Known Activations