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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. 9814
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    Explanations

    keywords related to specific terms and names, such as "Meatless Mondays" or "Unstoppable Muscle."

    oai_token-act-pair · gpt-3.5-turbo

    men's hygiene products and their societal implications

    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
     uncertain
    -0.66
     waivers
    -0.65
    lining
    -0.62
     reluctant
    -0.60
     hesitant
    -0.60
     humid
    -0.60
     defences
    -0.59
     mushrooms
    -0.59
     fielder
    -0.58
     poaching
    -0.58
    POSITIVE LOGITS
    \)
    1.09
    %"
    1.07
    ãĢį
    1.03
    [/
    1.02
    »
    1.01
    ãĢı
    1.00
    âĢ
    0.97
    _.
    0.97
    estine
    0.97
    É
    0.97
    Activations Density 0.239%

    No Known Activations