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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. 7-RES-JB
    11. 8869
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    Explanations

    phrases related to taking strict action against a specific issue or behavior

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating enforcement actions against specific issues or problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     laure
    -0.75
    hof
    -0.64
     Resurrection
    -0.64
     Raptors
    -0.62
     Tribe
    -0.61
     Bath
    -0.61
    \">
    -0.61
     Eps
    -0.60
     Realms
    -0.60
     Jinn
    -0.60
    POSITIVE LOGITS
     crackdown
    0.96
     enforcement
    0.91
     enforced
    0.90
     enforcing
    0.88
    senal
    0.87
     targeting
    0.82
     enforce
    0.82
    riminal
    0.81
     against
    0.81
     policing
    0.78
    Activations Density 0.067%

    No Known Activations