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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. 5-RES-JB
    6. 23678
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    Explanations

    keywords related to different universities and educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    specific names of software, technology, and educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omething
    -0.65
    conservancy
    -0.65
     Investig
    -0.61
    ··
    -0.59
    âĸĵ
    -0.57
     fructose
    -0.57
    bnb
    -0.57
    ãģĨ
    -0.57
    properties
    -0.56
     cannabinoid
    -0.56
    POSITIVE LOGITS
    malink
    0.87
     --------------------
    0.70
     âĵĺ
    0.69
    aque
    0.67
     ..............
    0.66
    Female
    0.64
     ----
    0.64
    Male
    0.62
    cair
    0.61
     https
    0.61
    Activations Density 0.631%

    No Known Activations