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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. 2-RES-JB
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    Explanations

    references to the ingredient "rice."

    oai_token-act-pair · gpt-3.5-turbo

    references to rice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.93
    izons
    -0.76
    gom
    -0.74
    laus
    -0.71
    RON
    -0.65
     McDonnell
    -0.65
    elong
    -0.64
    acular
    -0.64
    ibel
    -0.63
    onyms
    -0.63
    POSITIVE LOGITS
     cooker
    1.23
     cakes
    1.04
     rice
    1.02
     noodles
    0.97
     bowls
    0.91
     nood
    0.90
    beans
    0.89
     cereal
    0.89
    wine
    0.89
     pudding
    0.89
    Activations Density 0.007%

    No Known Activations