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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the word "Come" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "Come."

    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
    aido
    -0.89
    raid
    -0.86
    ricular
    -0.86
    uzzle
    -0.85
    uyomi
    -0.82
    atile
    -0.81
    apo
    -0.80
     tiss
    -0.79
    yrim
    -0.78
    ruff
    -0.78
    POSITIVE LOGITS
     undone
    0.85
     knocking
    0.76
     pouring
    0.75
     WRITE
    0.73
     Knock
    0.73
     hither
    0.71
     Grande
    0.69
     Weeks
    0.69
     Ung
    0.68
     alive
    0.67
    Activations Density 0.041%

    No Known Activations