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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. 5607
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    Explanations

    mentions of rice

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rice"

    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
    ufact
    -0.80
    laus
    -0.77
    atural
    -0.70
    gom
    -0.68
    odic
    -0.68
    ighty
    -0.68
    istically
    -0.68
    izons
    -0.67
    etheless
    -0.67
     Hitman
    -0.66
    POSITIVE LOGITS
     cooker
    1.33
     padd
    0.93
    beans
    0.89
     cakes
    0.88
     bowls
    0.83
    bean
    0.82
     noodles
    0.82
     nood
    0.82
    cloth
    0.81
     pudding
    0.81
    Activations Density 0.044%

    No Known Activations