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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
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    Explanations

    references to the city of Dallas, specifically mentioning Dallas with strong activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Dallas

    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
    ebook
    -0.78
    iltration
    -0.77
     srf
    -0.69
     Britann
    -0.68
    oths
    -0.68
    iked
    -0.65
     attainment
    -0.64
    udding
    -0.63
    âĵĺ
    -0.63
    elvet
    -0.62
    POSITIVE LOGITS
     Mavericks
    1.21
    Dallas
    1.21
     Dallas
    1.12
    Stars
    1.05
     Cowboys
    0.99
    hyde
    0.95
     Texans
    0.90
    illo
    0.83
     Stars
    0.82
    burgh
    0.78
    Activations Density 0.006%

    No Known Activations