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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
    11. 6660
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    Explanations

    references to animals or specific animal-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Animal" and related terms

    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
    nels
    -0.85
    ces
    -0.78
    nel
    -0.77
     mull
    -0.75
     scram
    -0.74
     drill
    -0.68
     dread
    -0.68
    amsung
    -0.66
     decrypt
    -0.66
     thrott
    -0.64
    POSITIVE LOGITS
     Animal
    3.85
    Animal
    3.26
     Animals
    2.54
    animal
    2.14
     animal
    2.03
     Humane
    1.90
    Anim
    1.77
     Veterinary
    1.63
     animals
    1.57
     Veter
    1.51
    Activations Density 0.020%

    No Known Activations