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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    locations named "Hudson"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Hudson" in various contexts

    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
    etimes
    -0.86
    ional
    -0.84
    IENT
    -0.81
    fully
    -0.78
    etime
    -0.77
    ebook
    -0.74
    orius
    -0.73
    here
    -0.72
    imated
    -0.71
    Edited
    -0.70
    POSITIVE LOGITS
     Hudson
    1.26
     Yards
    1.06
     Crab
    0.81
     Strait
    0.75
     Thames
    0.73
     Hawk
    0.73
     Bay
    0.72
     River
    0.72
     Moh
    0.71
     Jets
    0.71
    Activations Density 0.005%

    No Known Activations