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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
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    Explanations

    references to the location "Oklahoma"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Ok."

    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
     lav
    -0.81
    ordinary
    -0.65
    éĹ
    -0.63
     Scourge
    -0.62
     spoiled
    -0.62
    craft
    -0.62
    theless
    -0.62
     istg
    -0.62
     Sparkle
    -0.61
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.61
    POSITIVE LOGITS
    lahoma
    1.43
    onom
    1.09
    awaru
    0.96
    lah
    0.90
    ok
    0.86
    umar
    0.86
    unin
    0.84
    ettle
    0.84
    azaki
    0.83
    ugi
    0.81
    Activations Density 0.019%

    No Known Activations