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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. 0-RES-JB
    6. 6983
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    Explanations

    keywords related to photography and videos

    oai_token-act-pair · gpt-3.5-turbo

    references to multimedia content, specifically photos and videos

    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
     extracted
    -0.62
     kan
    -0.61
     default
    -0.60
     meaning
    -0.59
     margin
    -0.59
     forest
    -0.59
    olin
    -0.58
     capital
    -0.57
     ability
    -0.57
     increment
    -0.56
    POSITIVE LOGITS
    PHOTOS
    4.67
    VIDEO
    1.98
    SPONSORED
    1.51
    MORE
    1.49
    RELATED
    1.44
    WATCH
    1.30
    SIGN
    1.27
    photos
    1.26
    Scroll
    1.21
    CLOSE
    1.19
    Activations Density 0.015%

    No Known Activations