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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. 6623
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    oai_token-act-pair · gpt-3.5-turbo

    references to social media interactions

    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
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    Negative Logits
     Sloven
    -0.87
    arden
    -0.87
    bird
    -0.86
    birds
    -0.83
     sandwiches
    -0.80
     Owl
    -0.78
    Georg
    -0.77
    igators
    -0.76
    owl
    -0.76
    Bird
    -0.76
    POSITIVE LOGITS
     Modi
    1.09
     Harper
    1.09
     Gordon
    1.09
     Sharif
    1.00
    Gordon
    0.99
     PM
    0.96
     HM
    0.95
     Tories
    0.94
     Blair
    0.92
     Tory
    0.91
    Activations Density 0.376%

    No Known Activations