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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. 6-RES-JB
    11. 15424
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    Explanations

    keywords related to rapidity or speed

    oai_token-act-pair · gpt-3.5-turbo

    references to fast food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pheus
    -0.84
     Seym
    -0.84
    ignty
    -0.76
    eryl
    -0.73
    代
    -0.72
    cules
    -0.72
    xual
    -0.72
    vironment
    -0.71
     Contributions
    -0.71
    arks
    -0.71
    POSITIVE LOGITS
    idious
    1.43
     paced
    1.25
    ened
    1.10
    eners
    1.08
    ener
    0.94
    ening
    0.90
    nesses
    0.90
    cgi
    0.89
     asleep
    0.87
    running
    0.84
    Activations Density 0.025%

    No Known Activations