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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. 24484
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    Explanations

    specific characters/words ("Ċ") at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of dialogue or conversational 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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    No Comments

    Negative Logits
     migration
    -0.84
     enriched
    -0.84
     moder
    -0.83
     undocumented
    -0.81
     innov
    -0.81
     promotes
    -0.80
     confir
    -0.80
    xual
    -0.80
     govern
    -0.80
     commercially
    -0.79
    POSITIVE LOGITS
    Suddenly
    1.85
    Chapter
    1.63
    "âĢ¦
    1.59
    "...
    1.58
    CHAPTER
    1.57
    Damn
    1.54
    RAW
    1.54
    Then
    1.54
    Advertisements
    1.52
    Behind
    1.52
    Activations Density 0.113%

    No Known Activations