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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. 11-RES-JB
    11. 12694
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    Explanations

    phrases related to working hard and dedication

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to hard work and effort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orph
    -0.62
    enery
    -0.61
    myra
    -0.60
     Rings
    -0.59
    Ö¼
    -0.58
    ys
    -0.57
    ensable
    -0.57
     Newspaper
    -0.56
     disbelief
    -0.56
     Balt
    -0.56
    POSITIVE LOGITS
     tirelessly
    1.22
     overtime
    1.08
     miracles
    1.02
     diligently
    0.96
     collabor
    0.96
     hardest
    0.93
     cooper
    0.83
     synerg
    0.77
     harder
    0.74
     synergy
    0.74
    Activations Density 0.128%

    No Known Activations