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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. 11-RES-JB
    11. 23058
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    Explanations

    descriptions of physical scenes and locations

    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confir
    -1.08
     detriment
    -0.98
     mathemat
    -0.94
     satell
    -0.91
     carbohyd
    -0.90
     viable
    -0.89
     affili
    -0.89
     reluct
    -0.89
     streng
    -0.87
     advoc
    -0.87
    POSITIVE LOGITS
     Behind
    1.57
     Suddenly
    1.43
     Across
    1.39
     Inside
    1.38
     Sitting
    1.35
     Moments
    1.32
     Everywhere
    1.30
     Standing
    1.30
     Occasionally
    1.29
     Slowly
    1.28
    Activations Density 0.258%

    No Known Activations