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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. 10181
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    Explanations

    references to mazes and specific theme parks like Disneyland

    oai_token-act-pair · gpt-3.5-turbo

    references to "Alice in Wonderland" and themes involving mazes

    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
    audio
    -0.82
     corpor
    -0.79
    Aug
    -0.76
    baugh
    -0.76
    etooth
    -0.76
    arbon
    -0.73
    eneg
    -0.73
    ili
    -0.70
    vic
    -0.69
    Nit
    -0.69
    POSITIVE LOGITS
     Wonderland
    3.72
     Disneyland
    1.87
     Madness
    1.71
     Cinderella
    1.61
     Nights
    1.53
     Paradise
    1.45
     maze
    1.36
     Masquerade
    1.31
     Frankenstein
    1.28
     Carnival
    1.22
    Activations Density 0.065%

    No Known Activations