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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. 857
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    Explanations

    words related to perspectives or viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to perspectives and frameworks in analysis

    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
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    Negative Logits
    unte
    -0.70
    avement
    -0.68
    ateurs
    -0.67
    otrop
    -0.64
    aband
    -0.64
    atto
    -0.62
    hibited
    -0.62
    umer
    -0.61
     rodents
    -0.61
    OTOS
    -0.60
    POSITIVE LOGITS
     underpin
    0.84
    emonic
    0.81
     Faust
    0.76
     echoes
    0.72
     underlying
    0.69
    ĸļ
    0.68
    FontSize
    0.67
     capacitor
    0.67
     linking
    0.66
     interconnected
    0.65
    Activations Density 0.256%

    No Known Activations