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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. 6-RES-JB
    11. 973
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    Explanations

    phrases related to hard work and effort

    oai_token-act-pair · gpt-3.5-turbo

    references to hard work and associated efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     References
    -0.79
    ANC
    -0.71
    Ven
    -0.65
    NetMessage
    -0.65
    Major
    -0.64
    Dub
    -0.63
    Sov
    -0.62
    ANS
    -0.62
    Minor
    -0.61
     truce
    -0.60
    POSITIVE LOGITS
    smanship
    0.99
     ethic
    0.95
     diligently
    0.90
     effort
    0.90
     expended
    0.89
     diligent
    0.84
    manship
    0.84
     tirelessly
    0.78
     persever
    0.76
     painstaking
    0.76
    Activations Density 0.140%

    No Known Activations