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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. 11-RES-JB
    11. 5002
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    Explanations

    references to Formula car racing categories

    oai_token-act-pair · gpt-3.5-turbo

    references to specific racing categories and teams in Formula racing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gat
    -0.84
    iannopoulos
    -0.81
    itia
    -0.77
    aspberry
    -0.73
    ibrary
    -0.71
    awaru
    -0.67
    abase
    -0.65
    iture
    -0.64
    ajor
    -0.64
    imaru
    -0.64
    POSITIVE LOGITS
     racer
    1.34
     racing
    1.31
     Racing
    1.21
     cars
    1.10
     Renault
    1.06
    cars
    1.04
     Drift
    1.04
     tyre
    1.03
     Porsche
    1.01
     Racer
    1.01
    Activations Density 0.133%

    No Known Activations