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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. 7-RES-JB
    11. 19240
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    Explanations

    references to a specific location, specifically "Ok"

    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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lav
    -0.81
    éĹ
    -0.75
    ordinary
    -0.67
    schild
    -0.66
     istg
    -0.65
    BOOK
    -0.64
    ORGE
    -0.63
    funding
    -0.62
    phrine
    -0.61
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.61
    POSITIVE LOGITS
    lahoma
    1.41
    lah
    0.99
    ok
    0.94
    onom
    0.92
    ita
    0.87
    umar
    0.87
    unin
    0.87
    oms
    0.84
    oks
    0.82
    oman
    0.82
    Activations Density 0.019%

    No Known Activations