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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. 1-RES-JB
    11. 12959
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those named Willis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arb
    -1.00
    ebook
    -0.87
    unal
    -0.85
    yrinth
    -0.84
    untu
    -0.82
    ravings
    -0.81
    elist
    -0.80
    uncle
    -0.79
    antic
    -0.76
    ogy
    -0.75
    POSITIVE LOGITS
     Willis
    1.22
    borough
    0.89
     horizont
    0.87
    ãĤ¼ãĤ¦ãĤ¹
    0.87
     unbeliev
    0.77
     Compton
    0.76
     Bros
    0.76
    burgh
    0.74
     Osborne
    0.71
     Feldman
    0.70
    Activations Density 0.006%

    No Known Activations