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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. 20353
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    INDEX
    Explanations

    proper nouns associated with people or places

    oai_token-act-pair · gpt-3.5-turbo

    words and acronyms related to specific locations or entities

    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
    bats
    -0.71
    session
    -0.61
     leash
    -0.60
     Pigs
    -0.58
     lifes
    -0.57
     behold
    -0.55
    Reviewer
    -0.55
     succ
    -0.54
    Beat
    -0.53
     cough
    -0.53
    POSITIVE LOGITS
    agus
    0.77
    omal
    0.73
    iaz
    0.72
    ãĥĨ
    0.70
    thodox
    0.70
    cliffe
    0.70
    orio
    0.69
    IUM
    0.68
    uala
    0.67
    agin
    0.67
    Activations Density 0.071%

    No Known Activations