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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. 9-RES-JB
    6. 9366
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    INDEX
    Explanations

    phrases containing definite or specific nouns and adjectives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" and its contextual usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    washing
    -0.74
    ibaba
    -0.73
    uality
    -0.72
    thood
    -0.71
    LEASE
    -0.70
     absorbs
    -0.69
    ecast
    -0.69
    pection
    -0.69
    ances
    -0.67
    ADE
    -0.66
    POSITIVE LOGITS
     Dalai
    1.30
     youngest
    1.25
     eldest
    1.21
     smartest
    1.10
     Clintons
    1.06
     aforementioned
    1.06
     actress
    1.03
    odor
    1.03
     deceased
    1.03
     enigmatic
    1.03
    Activations Density 0.495%

    No Known Activations