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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. 17047
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    Explanations

    references to physical exercise locations, specifically the gym

    oai_token-act-pair · gpt-3.5-turbo

    references to a gym

    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
    drawn
    -0.90
    angered
    -0.73
     Strait
    -0.71
    better
    -0.70
    âĢ¢âĢ¢
    -0.69
     flawed
    -0.65
     Citizens
    -0.64
    OPLE
    -0.63
    theless
    -0.62
     UID
    -0.60
    POSITIVE LOGITS
    nas
    1.35
     gym
    0.97
     trainer
    0.87
    rats
    0.83
     Gym
    0.83
     lapt
    0.76
     trainers
    0.75
     corrid
    0.74
    rition
    0.74
    ido
    0.73
    Activations Density 0.005%

    No Known Activations