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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. 4-RES-JB
    6. 17889
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    Explanations

    mentions of a specific brand or product named "Go" with different variations in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to "Go" related products, brands, or franchises

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

    No Comments

    Negative Logits
    creen
    -0.90
    ipation
    -0.69
    ament
    -0.69
     ceilings
    -0.68
    uctor
    -0.65
    terday
    -0.65
    ussen
    -0.63
    itionally
    -0.63
     leveled
    -0.63
     plaus
    -0.61
    POSITIVE LOGITS
    lems
    1.09
    verning
    1.04
    Daddy
    0.95
    ogly
    0.95
    ogl
    0.92
    etz
    0.89
    vt
    0.89
    ethe
    0.84
    og
    0.80
    vier
    0.78
    Activations Density 0.035%

    No Known Activations