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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. 16376
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    Explanations

    words related to tools, equipment, and parts

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and connectors within a variety of contexts

    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
    ĸļ
    -0.90
    STER
    -0.81
    ESA
    -0.80
    ISON
    -0.80
    hower
    -0.74
    hetamine
    -0.73
    jury
    -0.72
    IRED
    -0.70
    ptroller
    -0.68
    EMBER
    -0.67
    POSITIVE LOGITS
     valleys
    1.19
     powd
    1.17
     jackets
    1.17
     coats
    1.14
     flats
    1.12
     bridges
    1.11
     attachments
    1.11
     extensions
    1.09
     tubes
    1.07
     castles
    1.07
    Activations Density 0.263%

    No Known Activations