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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the talk show host Rush Limbaugh

    oai_token-act-pair · gpt-3.5-turbo

    references to Rush Limbaugh

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.89
    worldly
    -0.69
    urable
    -0.69
    ĻĤ
    -0.68
     dexter
    -0.67
     Aires
    -0.66
    oral
    -0.66
    Export
    -0.62
     heavenly
    -0.62
     satisfying
    -0.60
    POSITIVE LOGITS
     Limbaugh
    1.37
     Rush
    1.04
    Rush
    0.88
    acks
    0.81
    away
    0.80
     Hour
    0.78
    die
    0.76
    cliffe
    0.76
    aways
    0.75
    sburg
    0.74
    Activations Density 0.007%

    No Known Activations