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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. 265
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    INDEX
    Explanations

    descriptions of physical characteristics and behaviors related to different species

    oai_token-act-pair · gpt-3.5-turbo

    terms related to animal behavior and physical characteristics

    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
    Metro
    -0.73
     Century
    -0.71
     homelessness
    -0.71
    iaz
    -0.70
     PRESIDENT
    -0.69
    anamo
    -0.69
    enegger
    -0.69
    channelAvailability
    -0.69
    ivan
    -0.69
    Street
    -0.68
    POSITIVE LOGITS
     glands
    1.02
     species
    0.99
     habitat
    0.98
     organisms
    0.95
     animals
    0.95
    brates
    0.95
     mating
    0.93
     biologists
    0.90
     larvae
    0.90
     brood
    0.88
    Activations Density 0.262%

    No Known Activations