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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. 4-RES-JB
    11. 24552
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    Explanations

    phrases or sentences indicating someone taking advantage of a situation or someone else

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to taking advantage of opportunities or situations

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

    No Comments

    Negative Logits
    wcs
    -0.78
    earchers
    -0.73
    cci
    -0.69
     wig
    -0.67
    hler
    -0.66
    fits
    -0.66
    uably
    -0.66
    ignt
    -0.63
    acs
    -0.62
    cause
    -0.62
    POSITIVE LOGITS
     ourselves
    0.72
     EVs
    0.69
    agall
    0.68
     yourselves
    0.67
    ãĤ¦
    0.67
     sorts
    0.65
    æѦ
    0.65
     them
    0.65
     RAD
    0.64
    ILE
    0.63
    Activations Density 0.134%

    No Known Activations