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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    references to the title "Return of the Jedi" from the movie "Star Wars"

    oai_token-act-pair · gpt-3.5-turbo
    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
    uren
    -0.80
    ople
    -0.71
    olini
    -0.65
    stood
    -0.63
    itty
    -0.63
    ussen
    -0.62
    rican
    -0.62
    Streamer
    -0.61
    ucci
    -0.61
    :{
    -0.60
    POSITIVE LOGITS
     refreshed
    0.90
     rightful
    0.86
     favour
    0.78
    isance
    0.76
     vengeance
    0.76
     favor
    0.73
     sanity
    0.71
    artifacts
    0.70
     abducted
    0.70
     overdue
    0.70
    Activations Density 0.204%

    No Known Activations