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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7666
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    INDEX
    Explanations

    locations or activities related to physical exercise

    oai_token-act-pair · gpt-3.5-turbo

    references to gyms and fitness-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Strait
    -0.82
    drawn
    -0.68
    theless
    -0.66
     afar
    -0.65
    ICT
    -0.64
    better
    -0.64
     Boe
    -0.63
    IBLE
    -0.62
     flawed
    -0.62
    angered
    -0.62
    POSITIVE LOGITS
    nas
    1.60
    rats
    0.89
    rosse
    0.87
    bell
    0.85
    cers
    0.84
    rition
    0.82
    nos
    0.82
    mers
    0.79
     lapt
    0.78
     gym
    0.77
    Activations Density 0.011%

    No Known Activations