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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. 11826
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    Explanations

    keywords related to motorsports, particularly racing

    oai_token-act-pair · gpt-3.5-turbo

    references to racing

    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
    ividual
    -0.90
    ows
    -0.73
    orative
    -0.72
    iry
    -0.68
    enser
    -0.67
    asure
    -0.67
    sworth
    -0.65
    osis
    -0.65
    adow
    -0.65
    iture
    -0.64
    POSITIVE LOGITS
     racing
    0.89
    ball
    0.80
    EED
    0.77
    Tips
    0.77
     Racer
    0.76
     motorcycles
    0.75
     racer
    0.74
    cars
    0.71
    manship
    0.70
     gamb
    0.70
    Activations Density 0.039%

    No Known Activations