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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. 10-RES-JB
    11. 6174
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    Explanations

    mentions of regulations or actions related to the treatment of animals

    oai_token-act-pair · gpt-3.5-turbo

    references to animal welfare and captivity issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettings
    -0.85
    itect
    -0.83
    ipolar
    -0.79
    hattan
    -0.74
    orrow
    -0.73
     UNCLASSIFIED
    -0.73
    ploma
    -0.73
     Tablet
    -0.73
    opoulos
    -0.72
    amacare
    -0.71
    POSITIVE LOGITS
     animals
    2.04
     animal
    1.93
     Animals
    1.74
     wildlife
    1.74
    Animal
    1.66
     veterin
    1.65
    animal
    1.65
     Wildlife
    1.64
     mammal
    1.60
     reptiles
    1.59
    Activations Density 0.980%

    No Known Activations