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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. 14300
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    segments related to image captions

    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
    limited
    -0.65
    urity
    -0.64
    aea
    -0.62
     Relic
    -0.62
     fir
    -0.59
     Gy
    -0.59
    Tom
    -0.58
    ste
    -0.58
    nut
    -0.58
    iable
    -0.57
    POSITIVE LOGITS
     caption
    4.40
     Caption
    1.61
     capt
    1.46
     copyright
    1.41
     subtitle
    1.34
     subtitles
    1.25
     slideshow
    1.12
     annotations
    1.10
     hasht
    1.07
     narrator
    1.07
    Activations Density 0.019%

    No Known Activations