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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. 16372
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    Explanations

    mentions of cigarette smoke and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to health concerns and legal issues

    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
     Harlem
    -0.62
     Chattanooga
    -0.60
     Whitman
    -0.59
     Tsarnaev
    -0.58
     Charlottesville
    -0.57
     Minneapolis
    -0.56
    arnaev
    -0.56
     Chrysler
    -0.55
     Bundy
    -0.55
     GOP
    -0.54
    POSITIVE LOGITS
     whilst
    0.98
     Whilst
    0.94
     recognise
    0.89
    Firstly
    0.87
     analyse
    0.87
     organise
    0.80
     realise
    0.80
     analys
    0.79
     emphas
    0.74
    aviour
    0.73
    Activations Density 1.666%

    No Known Activations