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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. 6-RES-JB
    6. 8115
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    Explanations

    words related to acronyms and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nesday
    -0.67
     grit
    -0.64
     Cheong
    -0.60
     independents
    -0.60
    gaard
    -0.59
    anchester
    -0.59
     Piet
    -0.58
     Yanuk
    -0.58
     Pence
    -0.57
     Gret
    -0.57
    POSITIVE LOGITS
    ioxide
    0.79
    emn
    0.77
    Weather
    0.75
    pillar
    0.74
    ophen
    0.74
    eta
    0.74
    ola
    0.71
    emia
    0.70
    lia
    0.70
    ulum
    0.70
    Activations Density 0.143%

    No Known Activations