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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. 12891
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    Explanations

    phrases related to hard work and effort

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to hard work and effort

    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
     Thumbnails
    -0.70
     Ambro
    -0.64
    enery
    -0.61
     pregn
    -0.60
    ricular
    -0.60
    etsk
    -0.59
     Mile
    -0.58
     Pry
    -0.58
     toppled
    -0.57
     Cyrus
    -0.56
    POSITIVE LOGITS
     collabor
    0.91
     tirelessly
    0.90
     diligently
    0.83
     overtime
    0.79
    ework
    0.79
     cooper
    0.77
    HQ
    0.76
     shifts
    0.75
     ethic
    0.74
     hardest
    0.71
    Activations Density 0.250%

    No Known Activations