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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. 4-RES-JB
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    Explanations

    mentions of the names "Krasinski" and "Ras" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "ras."

    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
    tails
    -0.76
     Yankee
    -0.72
    tains
    -0.71
    ĵ
    -0.68
    glers
    -0.65
     Holmes
    -0.64
    rica
    -0.62
    riad
    -0.62
    erm
    -0.60
    atures
    -0.59
    POSITIVE LOGITS
    irez
    1.04
    sembly
    1.03
    xual
    0.98
    ultan
    0.96
    ourced
    0.96
    ources
    0.96
    hea
    0.95
    arin
    0.95
    ques
    0.93
    hens
    0.92
    Activations Density 0.008%

    No Known Activations