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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17228
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    Explanations

    ingredients and cooking instructions related to food preparation

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and cooking instructions in recipes

    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
    udicrous
    -0.84
    rian
    -0.78
    rians
    -0.72
     Buckingham
    -0.71
    ¥µ
    -0.70
    ONSORED
    -0.69
     Limbaugh
    -0.61
    ãĥĩ
    -0.59
    APH
    -0.59
     awarding
    -0.59
    POSITIVE LOGITS
     mixture
    1.25
     ingredients
    1.04
     halves
    1.03
     flakes
    0.96
     evenly
    0.95
     paste
    0.93
    Ingredients
    0.88
     pieces
    0.84
     folder
    0.84
     chunks
    0.80
    Activations Density 0.130%

    No Known Activations