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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. 2-RES-JB
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    Explanations

    the abbreviation "Ok"

    oai_token-act-pair · gpt-4-turbo

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lav
    -0.88
    éĹ
    -0.80
    æł
    -0.72
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.72
    TPPStreamerBot
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
     Scourge
    -0.68
    eline
    -0.65
    FACE
    -0.63
    athering
    -0.63
    POSITIVE LOGITS
    lahoma
    1.39
    ok
    1.03
     Ok
    0.97
    oks
    0.90
     ok
    0.86
    unin
    0.85
    iak
    0.82
    oken
    0.81
    imo
    0.80
    aho
    0.80
    Activations Density 0.005%

    No Known Activations