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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. 10-RES-JB
    6. 20275
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tr" followed by various suffixes, indicating a focus on specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.70
    WARE
    -0.67
     err
    -0.67
     ration
    -0.65
    âĸ¬âĸ¬
    -0.65
     Nationwide
    -0.64
     documented
    -0.64
     writ
    -0.64
     trapping
    -0.63
     yeast
    -0.63
    POSITIVE LOGITS
    anqu
    1.35
    unks
    1.33
    istan
    1.30
    imble
    1.30
    icol
    1.26
    agic
    1.23
    acey
    1.22
    icky
    1.19
    umps
    1.19
    ainer
    1.18
    Activations Density 0.010%

    No Known Activations