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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. 17199
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    Explanations

    words related to farming and agricultural activities

    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 @ 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
    IZE
    -0.70
    uyomi
    -0.69
    hift
    -0.69
     Fas
    -0.66
    raints
    -0.65
    andum
    -0.64
     eminent
    -0.64
     Masquerade
    -0.62
     Jenner
    -0.62
    que
    -0.61
    POSITIVE LOGITS
    stead
    1.34
    worker
    1.03
    stock
    1.01
    house
    1.01
    workers
    0.99
    farm
    0.95
    yard
    0.93
     farms
    0.90
    hands
    0.90
    aceutical
    0.87
    Activations Density 0.033%

    No Known Activations