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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. 2-RES-JB
    6. 10041
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    INDEX
    Explanations

    phrases containing the word "walk"

    oai_token-act-pair · gpt-3.5-turbo

    references to walking or walk-related activities

    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
    milo
    -0.80
    cffff
    -0.73
     circumst
    -0.68
     competing
    -0.68
    ctic
    -0.67
    arial
    -0.65
     pressures
    -0.65
     serotonin
    -0.64
    xus
    -0.64
     helium
    -0.64
    POSITIVE LOGITS
    walk
    1.20
    walker
    1.08
    walking
    1.00
    Walk
    0.96
    own
    0.92
    ings
    0.90
    abouts
    0.88
    erness
    0.87
    bow
    0.86
    wright
    0.85
    Activations Density 0.012%

    No Known Activations