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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. 4-RES-JB
    11. 18566
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    Explanations

    words related to planting, seeding, or sowing

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "plant" and its variations in context, particularly relating to actions and results associated with planting

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

    No Comments

    Negative Logits
    bart
    -0.74
    fax
    -0.71
    nesota
    -0.71
    hma
    -0.71
    vernment
    -0.68
    que
    -0.68
    apist
    -0.68
     Thro
    -0.67
    fre
    -0.67
    xus
    -0.66
    POSITIVE LOGITS
     planting
    1.12
     planted
    1.10
     seeds
    0.96
     Seeds
    0.90
     trees
    0.85
     gardens
    0.85
     seed
    0.82
     Gardens
    0.81
     acre
    0.79
     plants
    0.78
    Activations Density 0.015%

    No Known Activations