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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. 2-RES-JB
    11. 14198
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    INDEX
    Explanations

    specific mentions of the FIA (Fédération Internationale de l'Automobile) and Renault in a motor racing context

    oai_token-act-pair · gpt-3.5-turbo

    references to motorsport organizations and teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REAM
    -0.80
    anded
    -0.79
    aler
    -0.76
    psc
    -0.73
    asm
    -0.72
    url
    -0.72
    iannopoulos
    -0.70
    upt
    -0.70
    aith
    -0.70
    aunder
    -0.69
    POSITIVE LOGITS
     Renault
    1.05
     FIA
    0.97
     racing
    0.95
     tyre
    0.93
     Formula
    0.88
     lapt
    0.87
     braking
    0.85
     tyres
    0.84
     tractor
    0.81
     Racing
    0.79
    Activations Density 0.018%

    No Known Activations