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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. 10271
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    Explanations

    names of individuals or places, especially focusing on surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly those of individuals

    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
     incub
    -0.68
     FTA
    -0.67
    direction
    -0.67
    DNA
    -0.67
     uter
    -0.66
    igslist
    -0.65
    ModLoader
    -0.64
    acerb
    -0.63
    urious
    -0.62
    DIV
    -0.60
    POSITIVE LOGITS
    sson
    1.20
     Werner
    0.99
     Andersen
    0.99
     Wilhelm
    0.96
     Friedrich
    0.94
     Wein
    0.94
     von
    0.93
     Wagner
    0.92
    hoff
    0.92
     Muller
    0.90
    Activations Density 0.296%

    No Known Activations