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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. 0-RES-JB
    11. 11730
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    INDEX
    Explanations

    numerical quantities or approximations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify or present estimates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ente
    -0.68
    won
    -0.66
    lier
    -0.65
    Politics
    -0.63
    rez
    -0.63
     dared
    -0.62
    dad
    -0.62
    merce
    -0.62
     fav
    -0.62
    oneliness
    -0.61
    POSITIVE LOGITS
     approximately
    2.98
    approximately
    2.32
     Approximately
    2.08
     roughly
    1.94
    roximately
    1.90
     approx
    1.67
     âĪ¼
    1.66
     approximate
    1.62
     estimated
    1.25
     âī
    1.25
    Activations Density 0.014%

    No Known Activations