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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
    11. 1809
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    INDEX
    Explanations

    words that contain "ol" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    capitalized proper nouns or names

    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
    retty
    -0.78
    icipated
    -0.78
    earances
    -0.73
    rys
    -0.71
    iliary
    -0.70
    izoph
    -0.69
    rentice
    -0.68
    gerald
    -0.68
    kefeller
    -0.66
    rentices
    -0.64
    POSITIVE LOGITS
    ibrary
    0.71
    ornia
    0.68
    ipedia
    0.67
    quez
    0.65
    è£ħ
    0.64
    steen
    0.64
    SourceFile
    0.64
    stad
    0.63
    otide
    0.63
    Vi
    0.61
    Activations Density 0.228%

    No Known Activations