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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. 0-RES-JB
    11. 2056
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    Explanations

    words related to farming activities, specifically the action of harvesting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the harvesting and extraction of resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blitz
    -0.79
     Pix
    -0.72
     rebuke
    -0.68
    ilogy
    -0.67
    antine
    -0.66
    vu
    -0.65
    sych
    -0.64
    jj
    -0.64
    dx
    -0.62
    PASS
    -0.62
    POSITIVE LOGITS
     harvested
    2.57
     harvesting
    2.29
     extracted
    1.60
     extraction
    1.54
     extracting
    1.16
     mined
    1.10
     slaughtered
    1.04
     hunted
    1.00
     traff
    0.96
     Farms
    0.88
    Activations Density 0.019%

    No Known Activations