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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. 4-RES-JB
    11. 4190
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    Explanations

    references to a series or sequence of related items or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "string" indicating a sequence or series

    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
    tical
    -0.92
    undai
    -0.91
    hammad
    -0.83
    icago
    -0.79
    mares
    -0.71
    psey
    -0.71
    ioch
    -0.70
    apa
    -0.70
    oyer
    -0.69
    ternity
    -0.68
    POSITIVE LOGITS
     bikini
    0.83
    ãĤ¡
    0.78
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.75
    ãĤ©
    0.74
    ãĥĥãĥī
    0.73
    ties
    0.72
     string
    0.71
    ently
    0.70
    stress
    0.68
    \\\\
    0.68
    Activations Density 0.010%

    No Known Activations