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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. 7-RES-JB
    6. 9168
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chili
    -0.59
     vacation
    -0.53
     tuna
    -0.52
    gae
    -0.50
    estead
    -0.49
     mosquito
    -0.49
    ModLoader
    -0.47
    yan
    -0.46
    church
    -0.46
     Alzheimer
    -0.46
    POSITIVE LOGITS
    odder
    0.67
    afety
    0.66
    udeb
    0.63
    conserv
    0.62
    vice
    0.59
    anwhile
    0.59
    manager
    0.58
    guided
    0.57
    ounge
    0.57
    assisted
    0.57
    Activations Density 1.009%

    No Known Activations