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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. 7-RES-JB
    11. 1774
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    Explanations

    words related to productivity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to productivity and its factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.72
    heny
    -0.72
    entious
    -0.72
    rez
    -0.71
    fect
    -0.70
    enna
    -0.70
    ifiers
    -0.67
    ergy
    -0.66
    gery
    -0.65
    inos
    -0.65
    POSITIVE LOGITS
     quot
    0.99
     enhancing
    0.91
     enh
    0.83
     savings
    0.83
     tremend
    0.81
    atsu
    0.79
     enhancement
    0.79
    iencies
    0.78
     coefficient
    0.76
     improvement
    0.76
    Activations Density 0.089%

    No Known Activations