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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. 8-RES-JB
    11. 12900
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    Explanations

    numbers in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate quantities or alternatives

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ergic
    -0.71
    ETS
    -0.68
    BLIC
    -0.64
     Reporter
    -0.64
     Redmond
    -0.63
    PDATE
    -0.62
    IME
    -0.62
    eval
    -0.61
    prints
    -0.60
    EMP
    -0.60
    POSITIVE LOGITS
    chard
    1.23
    acles
    1.22
    acle
    1.11
    acular
    1.09
    phan
    0.96
    nam
    0.96
    ifice
    0.95
    chid
    0.95
    ific
    0.94
    thodox
    0.90
    Activations Density 0.041%

    No Known Activations