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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. 11-RES-JB
    11. 2041
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    Explanations

    references to the city of Sydney

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Sydney

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     honor
    -0.80
    ages
    -0.78
    agy
    -0.78
    abet
    -0.78
    DonaldTrump
    -0.76
     Akron
    -0.73
    Ohio
    -0.73
    ãĥł
    -0.70
    minus
    -0.70
    waukee
    -0.68
    POSITIVE LOGITS
     NSW
    1.25
     CBD
    1.16
     Adelaide
    1.11
     Turnbull
    1.10
     Brisbane
    1.10
    elaide
    1.08
     Tasmania
    1.07
     Australia
    1.05
     Harbour
    1.05
     NRL
    1.04
    Activations Density 0.091%

    No Known Activations