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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 5999
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    INDEX
    Explanations

    names of people and years

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and historical events

    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
    2017
    -0.85
     2018
    -0.83
    ã
    -0.83
     2017
    -0.82
    2018
    -0.82
    2016
    -0.81
     2016
    -0.81
    ebin
    -0.78
    2015
    -0.77
    alon
    -0.77
    POSITIVE LOGITS
    oslov
    1.06
     Yugoslavia
    0.97
     Rockefeller
    0.87
    then
    0.85
     Lyndon
    0.83
     Soviet
    0.81
     Saddam
    0.79
     Atari
    0.78
     USSR
    0.78
     Yugoslav
    0.77
    Activations Density 0.771%

    No Known Activations