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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. 2084
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    Explanations

    sentences urging people to communicate openly with their community or take action against wrongdoing

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases that imply communication and honesty within a community context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     effected
    -0.87
     carbohyd
    -0.81
     eleph
    -0.80
     migr
    -0.76
     barred
    -0.76
     millenn
    -0.75
     satell
    -0.75
    awed
    -0.74
     scrambling
    -0.74
     dispersed
    -0.73
    POSITIVE LOGITS
     Explain
    1.59
     Include
    1.57
     Provide
    1.52
     Offer
    1.47
     Spend
    1.41
     Make
    1.41
     Avoid
    1.38
     Use
    1.37
     Ensure
    1.36
     Write
    1.35
    Activations Density 0.322%

    No Known Activations