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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. 6-RES-JB
    6. 24081
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    Explanations

    high-impact words or phrases that evoke strong emotions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    capital letters or proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.75
     Hobbit
    -0.73
     Wast
    -0.69
     Oath
    -0.69
     pony
    -0.68
     Alchemist
    -0.68
    foundland
    -0.66
    LOD
    -0.62
    Ħ¢
    -0.61
    hyde
    -0.60
    POSITIVE LOGITS
    cially
    1.10
    itting
    1.07
    rarily
    1.06
    ually
    1.06
    itionally
    1.04
    ifully
    1.03
    cknowled
    1.02
    ately
    1.00
    aring
    0.99
    quartered
    0.99
    Activations Density 0.236%

    No Known Activations