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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. 7-RES-JB
    11. 11486
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    oai_token-act-pair · gpt-3.5-turbo

    specific numerical or symbolic references, likely related to data or web content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Wanted
    -0.69
    emouth
    -0.68
     livest
    -0.65
    algia
    -0.63
     vulner
    -0.63
     Turing
    -0.62
     weakened
    -0.62
     oriented
    -0.62
     Wise
    -0.60
     subsequ
    -0.60
    POSITIVE LOGITS
    CVE
    1.02
    true
    1.00
    detail
    0.85
    false
    0.85
    sr
    0.83
    tw
    0.82
    EngineDebug
    0.82
    govtrack
    0.81
    rss
    0.81
    tnc
    0.80
    Activations Density 0.009%

    No Known Activations