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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. 3-RES-JB
    11. 4776
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    Explanations

    references to various types of motor races

    oai_token-act-pair · gpt-3.5-turbo

    mentions of competitive events or races

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    argon
    -0.84
    berra
    -0.82
    etheless
    -0.79
    tymology
    -0.78
    ogle
    -0.77
    osis
    -0.75
    ionage
    -0.70
    thora
    -0.69
    olia
    -0.68
    ipher
    -0.67
    POSITIVE LOGITS
    course
    1.21
    horse
    1.03
    bike
    0.93
    cars
    0.93
     Races
    0.92
     races
    0.91
     race
    0.91
    Race
    0.87
    car
    0.85
     Race
    0.84
    Activations Density 0.017%

    No Known Activations