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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. 1-RES-JB
    11. 22632
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    Explanations

    words related to productivity in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to productivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.73
    den
    -0.70
    LECT
    -0.69
    Bet
    -0.68
    onna
    -0.68
    ibur
    -0.67
    aida
    -0.65
    oul
    -0.65
    nor
    -0.65
    BN
    -0.65
    POSITIVE LOGITS
     productivity
    1.18
     improvement
    0.85
     enhancement
    0.79
    olicy
    0.76
     portfolios
    0.76
     Downloads
    0.75
     calculator
    0.74
     workflow
    0.73
     droid
    0.73
     efficiency
    0.71
    Activations Density 0.005%

    No Known Activations