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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. 6864
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    Explanations

    animals for which specific nouns are commonly used

    oai_token-act-pair · gpt-3.5-turbo

    animal names and terms related to wildlife

    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
     challeng
    -0.90
     tiss
    -0.78
     cryst
    -0.78
     proport
    -0.77
     referen
    -0.76
    ngth
    -0.74
     arrang
    -0.71
     Palestin
    -0.71
    nce
    -0.70
     Ambro
    -0.70
    POSITIVE LOGITS
    hawks
    1.09
    eye
    1.00
     carc
    0.92
    hawk
    0.91
    flies
    0.87
    Redditor
    0.87
    fish
    0.87
     beetle
    0.87
     beetles
    0.87
    birds
    0.85
    Activations Density 0.226%

    No Known Activations