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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. 10-RES-JB
    11. 7938
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    Explanations

    proper nouns related to a specific location or city

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Los Angeles."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.62
    finding
    -0.61
    BOOK
    -0.60
    ebook
    -0.59
     beware
    -0.58
     chance
    -0.58
     handshake
    -0.58
     flip
    -0.57
    ï¸ı
    -0.56
    ãĤ¡
    -0.56
    POSITIVE LOGITS
     Angeles
    1.86
     Alam
    1.18
    Angel
    1.11
     ANGEL
    1.09
     Santos
    1.05
     Padres
    0.96
    angel
    0.95
     Blanc
    0.85
     Aires
    0.84
    ucha
    0.82
    Activations Density 0.019%

    No Known Activations