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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. 4354
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    Explanations

    proper nouns, specifically names such as "Mr. [Name]"

    oai_token-act-pair · gpt-3.5-turbo

    the title "Mr" followed by names or titles of individuals

    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
    rawdownloadcloneembedreportprint
    -0.86
    phia
    -0.72
     actionGroup
    -0.70
     appre
    -0.68
    NESS
    -0.65
     wheelchair
    -0.63
    mental
    -0.62
    »Ĵ
    -0.61
     attest
    -0.60
    EEK
    -0.60
    POSITIVE LOGITS
     Corbyn
    1.07
     Farage
    1.03
     Hollande
    0.99
     Assange
    0.95
     Turnbull
    0.94
     Obama
    0.94
     Miliband
    0.93
     Kejriwal
    0.93
     Erdogan
    0.93
     Justice
    0.92
    Activations Density 0.043%

    No Known Activations