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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. 8-RES-JB
    11. 10442
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    INDEX
    Explanations

    words related to wheels or wheel-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to wheels, specifically in the context of various mechanisms, functions, or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uated
    -0.80
    uates
    -0.78
    ropolitan
    -0.74
    nces
    -0.74
     ABE
    -0.73
     Suc
    -0.69
     Debor
    -0.69
    uate
    -0.67
    inately
    -0.67
    ities
    -0.66
    POSITIVE LOGITS
    chairs
    1.41
    chair
    1.34
    wright
    1.21
    wheel
    1.19
    base
    1.00
    bar
    0.97
    house
    0.88
    wash
    0.88
    Wheel
    0.87
    bars
    0.85
    Activations Density 0.025%

    No Known Activations