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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. 3-RES-JB
    11. 4567
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    Explanations

    references to the usage, characteristics, and context of 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.84
    gom
    -0.79
    deen
    -0.72
    laus
    -0.70
    izons
    -0.68
    elong
    -0.68
    ighty
    -0.67
    RON
    -0.67
    arcer
    -0.65
    eanor
    -0.65
    POSITIVE LOGITS
     cooker
    1.22
     cakes
    1.03
     rice
    0.98
    wine
    0.89
    beans
    0.88
     noodles
    0.87
     bowls
    0.87
     grains
    0.85
     cereal
    0.84
    cake
    0.83
    Activations Density 0.005%

    No Known Activations