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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "hey"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "hey."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAW
    -0.75
    Emb
    -0.69
    ":["
    -0.68
    cible
    -0.66
     UCH
    -0.65
    [[
    -0.63
    ©¶æ¥µ
    -0.63
    20439
    -0.63
    mental
    -0.63
    ossibility
    -0.62
    POSITIVE LOGITS
     hey
    1.33
     prest
    1.12
    hey
    1.00
     Hey
    0.83
    creen
    0.75
    oho
    0.73
     pardon
    0.71
     sorry
    0.69
    giving
    0.68
     hello
    0.67
    Activations Density 0.008%

    No Known Activations