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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. 10-RES-JB
    11. 21530
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    Explanations

    phrases related to cycling races, particularly the "Tour de France."

    oai_token-act-pair · gpt-3.5-turbo

    references to the Tour de France and its associated events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lishes
    -0.77
    isSpecialOrderable
    -0.76
    CAP
    -0.73
    rencies
    -0.72
    arial
    -0.69
    iple
    -0.69
    SpaceEngineers
    -0.68
    taboola
    -0.67
    ibrary
    -0.67
    rew
    -0.65
    POSITIVE LOGITS
    oton
    0.94
     Cycling
    0.88
     Races
    0.85
     rider
    0.84
     endurance
    0.83
     Motorsport
    0.82
     cycling
    0.80
     downhill
    0.79
     riders
    0.77
     Championships
    0.75
    Activations Density 0.071%

    No Known Activations