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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. 8-RES-JB
    6. 6794
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    Explanations

    countries, names, and historical events

    oai_token-act-pair · gpt-3.5-turbo

    names of countries and their historical or political contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ³ãĤ¸
    -0.80
    ãĤ¤ãĥĪ
    -0.70
    IBLE
    -0.67
    SHARE
    -0.65
     Yad
    -0.64
    Reply
    -0.64
    kef
    -0.62
    mobi
    -0.61
    LinkedIn
    -0.61
    WHO
    -0.60
    POSITIVE LOGITS
     arrival
    0.92
     arrives
    0.89
    gate
    0.88
     completes
    0.88
     arrived
    0.86
     breakup
    0.85
     fiasco
    0.85
     takeover
    0.83
     debacle
    0.82
     enters
    0.81
    Activations Density 0.548%

    No Known Activations