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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. 22528
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    INDEX
    Explanations

    mentions of farming activities or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to farms

    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
    hift
    -0.73
     Fas
    -0.69
     Bucc
    -0.68
    uyomi
    -0.65
     Lumpur
    -0.65
    raints
    -0.64
     Jenner
    -0.64
    IZE
    -0.62
    ————
    -0.62
     Transmission
    -0.60
    POSITIVE LOGITS
    stead
    1.36
     farms
    1.07
    farm
    1.06
     farm
    1.03
    worker
    0.99
    house
    0.99
    workers
    0.95
    aceutical
    0.91
    Farm
    0.91
    hands
    0.90
    Activations Density 0.016%

    No Known Activations