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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. 8-RES-JB
    11. 13142
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    Explanations

    statements about monitoring, checking, examining, ensuring, or scrutinizing a situation or data for specific purposes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions taken to monitor or assess situations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     trailing
    -0.68
     fired
    -0.65
     raided
    -0.64
     stormed
    -0.64
    living
    -0.61
     roaming
    -0.60
     sued
    -0.59
     traded
    -0.59
     floated
    -0.59
     Lak
    -0.59
    POSITIVE LOGITS
     ensure
    1.41
     determine
    1.39
     verify
    1.21
     optimize
    1.18
     minimize
    1.17
     insure
    1.17
     maximize
    1.13
     assure
    1.12
     ascertain
    1.12
     improve
    1.11
    Activations Density 0.197%

    No Known Activations