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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

    mentions of geographic locations, specifically ones with the term "Springs."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Springs"

    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
    TYPE
    -0.68
    XX
    -0.67
    class
    -0.65
    oen
    -0.64
    inance
    -0.64
    detail
    -0.63
    HC
    -0.62
    ariat
    -0.61
    rons
    -0.61
    avis
    -0.61
    POSITIVE LOGITS
     Springs
    1.49
    dale
    0.99
     Meadows
    0.96
    boro
    0.95
     Ambro
    0.83
     Sands
    0.80
    vale
    0.80
     Creek
    0.79
    stead
    0.78
    lahoma
    0.75
    Activations Density 0.007%

    No Known Activations