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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19198
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    INDEX
    Explanations

    mentions of physical media formats like DVDs and Blu-ray discs

    oai_token-act-pair · gpt-3.5-turbo

    references to formats and types of media releases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.86
    onomous
    -0.85
    unin
    -0.83
    nel
    -0.79
    imov
    -0.79
    adow
    -0.78
    astical
    -0.77
    abad
    -0.75
    adows
    -0.73
    rians
    -0.72
    POSITIVE LOGITS
     DVD
    1.11
     discs
    1.09
    DVD
    1.04
     DVDs
    1.02
     playback
    0.96
     copies
    0.93
     Combo
    0.92
     cassette
    0.91
     Movies
    0.90
     recorder
    0.88
    Activations Density 0.054%

    No Known Activations