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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    proper nouns related to a specific location (Adelaide)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Adelaide."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ages
    -0.83
    rg
    -0.73
    igation
    -0.69
    haul
    -0.69
    ror
    -0.68
    agy
    -0.67
    aging
    -0.66
    gger
    -0.66
    early
    -0.65
    icles
    -0.65
    POSITIVE LOGITS
     Adelaide
    1.07
    elaide
    0.94
     Oval
    0.82
     Lumpur
    0.80
    sburg
    0.78
     Brisbane
    0.78
    shire
    0.75
     Springs
    0.74
    monton
    0.71
     Jagu
    0.71
    Activations Density 0.004%

    No Known Activations