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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. 14790
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    Explanations

    mentions of specific locations or settings

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document or section

    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
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    Negative Logits
     according
    -0.61
    arians
    -0.58
    fare
    -0.57
    itiz
    -0.57
    uates
    -0.57
     depending
    -0.54
    nesty
    -0.54
    ional
    -0.53
    ulner
    -0.53
    orig
    -0.53
    POSITIVE LOGITS
     midst
    0.92
     meantime
    0.88
     vicinity
    0.86
     vein
    0.85
     guise
    0.78
     wake
    0.78
     context
    0.76
     aftermath
    0.75
     realm
    0.74
     trenches
    0.74
    Activations Density 0.102%

    No Known Activations