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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. 24058
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    Explanations

    phrases related to controversy and controversy-inducing topics

    oai_token-act-pair · gpt-3.5-turbo

    sentences with strong statements or declarations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     solo
    -0.82
     transition
    -0.80
     disemb
    -0.80
     transitions
    -0.79
     handmade
    -0.79
     cycl
    -0.77
     glim
    -0.76
     workspace
    -0.76
    emaker
    -0.75
     quir
    -0.75
    POSITIVE LOGITS
     Worse
    1.78
     Shame
    1.56
     Instead
    1.34
     Furthermore
    1.32
     Moreover
    1.32
     Ironically
    1.30
     Needless
    1.29
     Surely
    1.26
     Thankfully
    1.25
     Apparently
    1.23
    Activations Density 0.478%

    No Known Activations