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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. 7-RES-JB
    11. 14123
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    INDEX
    Explanations

    phrases or sentences containing the words "need" or "know"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of necessity or essential information

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    cession
    -0.64
     DOT
    -0.63
    ishers
    -0.63
     Laksh
    -0.62
    uthor
    -0.61
     Miko
    -0.61
    hound
    -0.61
     Gret
    -0.59
    avy
    -0.59
    hov
    -0.59
    POSITIVE LOGITS
    ioned
    0.84
    lessly
    0.78
     to
    0.73
    rous
    0.67
     sust
    0.65
    rals
    0.65
    liest
    0.64
     Citation
    0.62
    n
    0.62
     guiActiveUn
    0.61
    Activations Density 0.058%

    No Known Activations