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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21993
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    INDEX
    Explanations

    proper nouns related to locations or names of places

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aler
    -0.82
    naire
    -0.77
    onde
    -0.75
    ione
    -0.75
    orted
    -0.75
    rand
    -0.73
    iflower
    -0.72
    uality
    -0.72
    inelli
    -0.71
    andise
    -0.70
    POSITIVE LOGITS
    phies
    0.85
    cule
    0.75
     restraints
    0.73
    ãĤ´
    0.73
     hurdles
    0.70
     mosqu
    0.69
     slopes
    0.69
     fet
    0.68
    ãģĻ
    0.68
    æĪ¦
    0.67
    Activations Density 0.070%

    No Known Activations