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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. 9-RES-JB
    11. 5716
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    Explanations

    phrases describing people, potentially with mentions of their actions or roles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and descriptors related to individuals and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     capitals
    -0.68
    brids
    -0.68
     bridges
    -0.66
     Interactive
    -0.64
     Companies
    -0.64
     arenas
    -0.63
    brid
    -0.62
     treaties
    -0.62
    ior
    -0.62
     pipelines
    -0.61
    POSITIVE LOGITS
     whom
    1.25
    who
    1.14
    whose
    1.13
     who
    1.10
     whose
    1.02
     surn
    1.02
     identified
    0.95
     Mohammad
    0.86
     Mohamed
    0.86
     unidentified
    0.85
    Activations Density 0.216%

    No Known Activations