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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. 1622
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    Explanations

    animals, specifically turtles, sharks, and whales

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to various animals, particularly marine and reptilian species

    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
    Apps
    -0.94
     Members
    -0.90
     Representatives
    -0.89
     Teams
    -0.87
    Americans
    -0.86
    Players
    -0.86
    seekers
    -0.84
    Applications
    -0.84
     Models
    -0.84
     Consumers
    -0.83
    POSITIVE LOGITS
     whale
    1.75
     dolphin
    1.75
     shark
    1.73
     gorilla
    1.71
     turtle
    1.67
     tiger
    1.60
     dinosaur
    1.55
     donkey
    1.54
     snake
    1.53
     chimpan
    1.50
    Activations Density 0.053%

    No Known Activations