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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22930
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    INDEX
    Explanations

    places, organizations, and proper nouns related to academics or technology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations and associated terms

    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
    ogy
    -0.96
    ologist
    -0.69
    umbai
    -0.69
    ffen
    -0.68
     smugg
    -0.68
    ushing
    -0.67
    ophile
    -0.67
    uppet
    -0.67
    ysis
    -0.66
    ploma
    -0.65
    POSITIVE LOGITS
    ful
    0.91
    lain
    0.87
    mares
    0.87
    entimes
    0.86
     Ago
    0.84
    çİĭ
    0.80
    full
    0.78
    forth
    0.78
    erald
    0.76
    DOM
    0.76
    Activations Density 0.016%

    No Known Activations