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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of different types of fruits

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "fruit."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Standing
    -0.73
    agonists
    -0.68
    nee
    -0.65
     Century
    -0.62
    citizens
    -0.62
     Sioux
    -0.61
    Rated
    -0.60
    uled
    -0.60
     silenced
    -0.60
    rupulous
    -0.59
    POSITIVE LOGITS
    fruit
    1.40
     fruit
    1.39
     fruits
    1.25
     juice
    1.03
     Fruit
    1.01
    ruit
    1.01
    ruits
    0.98
    cake
    0.95
    cakes
    0.93
     mango
    0.82
    Activations Density 0.017%

    No Known Activations