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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. 11075
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients commonly used in cooking and recipes

    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
    ãĤŃ
    -0.73
    YN
    -0.70
    76561
    -0.70
    FUN
    -0.69
    EEP
    -0.68
    ãĥ´
    -0.67
    OAD
    -0.67
    å¸
    -0.66
    ¶
    -0.66
    ãĥ¯ãĥ³
    -0.64
    POSITIVE LOGITS
    ensis
    0.89
     flakes
    0.83
     vinegar
    0.74
     soaked
    0.72
     recipe
    0.69
     mas
    0.68
    stals
    0.68
    worm
    0.68
     crystals
    0.68
     paste
    0.67
    Activations Density 0.145%

    No Known Activations