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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. 11-RES-JB
    11. 1932
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    Explanations

    words related to motion, particularly in the context of motion pictures and technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to motion pictures and their production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scl
    -0.72
     Chap
    -0.71
    eno
    -0.70
    dds
    -0.68
    aez
    -0.67
     Province
    -0.65
    rosso
    -0.62
    hedral
    -0.61
     Council
    -0.61
    ourt
    -0.61
    POSITIVE LOGITS
     sickness
    1.12
    picture
    1.03
     blur
    1.00
     Picture
    0.99
     picture
    0.97
     detectors
    0.92
     pictures
    0.82
     sensor
    0.81
    less
    0.80
     sensing
    0.80
    Activations Density 0.034%

    No Known Activations