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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. 3-RES-JB
    11. 12520
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, especially names and titles

    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
    idas
    -0.74
    ieu
    -0.70
    zed
    -0.66
    ahime
    -0.65
     Minneapolis
    -0.65
    iage
    -0.63
     INFORMATION
    -0.62
    bably
    -0.62
     chanted
    -0.61
    IAN
    -0.61
    POSITIVE LOGITS
    arling
    0.86
    £ı
    0.85
    croft
    0.85
    erver
    0.82
    orial
    0.79
    inction
    0.76
    oya
    0.74
    socket
    0.73
    reen
    0.73
    gemony
    0.72
    Activations Density 0.019%

    No Known Activations