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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. 3-RES-JB
    11. 13487
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    Explanations

    animals, particularly ones with unique characteristics like crocodiles, sea otters, rhinos, and giraffes, as well as human activities related to these animals

    oai_token-act-pair · gpt-3.5-turbo

    words related to crocodiles, rhinos, and otters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     challeng
    -0.76
    ELD
    -0.72
    ¿½
    -0.67
    ASED
    -0.67
    ngth
    -0.66
     referen
    -0.65
    senal
    -0.64
     BET
    -0.62
     unden
    -0.62
     KH
    -0.62
    POSITIVE LOGITS
     species
    1.04
     beetle
    1.04
     beetles
    0.99
    fish
    0.98
    flies
    0.87
     Beetle
    0.86
     crabs
    0.85
    eers
    0.85
     habitats
    0.85
     pup
    0.84
    Activations Density 0.126%

    No Known Activations