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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
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    Explanations

    actions related to physical labor, specifically actions involving shoveling and using a spoon

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shoveling and other manual tools or actions associated with physical labor

    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
    vals
    -0.76
    adh
    -0.76
     Trou
    -0.75
    Republic
    -0.69
    agos
    -0.69
     ÎĶ
    -0.69
    Rom
    -0.68
    imar
    -0.67
     Synd
    -0.67
     Republic
    -0.66
    POSITIVE LOGITS
     shovel
    3.68
     spoon
    1.95
     bulldo
    1.71
     excav
    1.66
     rake
    1.49
     Spoon
    1.49
    hoe
    1.48
     shove
    1.46
     digging
    1.44
     sled
    1.21
    Activations Density 0.053%

    No Known Activations