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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. 1-RES-JB
    11. 13919
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    Explanations

    references to bodies of water, particularly rivers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "river" in various contexts

    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
    iaries
    -0.75
    ancies
    -0.71
    rontal
    -0.69
    uries
    -0.68
    ELD
    -0.66
    Prof
    -0.65
    rators
    -0.64
    Rated
    -0.63
    OSH
    -0.62
    ech
    -0.62
    POSITIVE LOGITS
     river
    1.17
     River
    1.12
     basin
    1.06
    bank
    0.97
    boat
    0.97
     rivers
    0.95
     Thames
    0.94
     valley
    0.91
    River
    0.89
     Nile
    0.88
    Activations Density 0.011%

    No Known Activations