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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. 4-RES-JB
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    Explanations

    phrases related to airspace and aerial activities

    oai_token-act-pair · gpt-3.5-turbo

    references to airspace and its management

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

    No Comments

    Negative Logits
     Soda
    -0.73
    Job
    -0.73
    agers
    -0.73
    Leader
    -0.73
    Pic
    -0.71
    Ger
    -0.68
    hesis
    -0.67
    ative
    -0.66
    Meat
    -0.66
     Millenn
    -0.66
    POSITIVE LOGITS
     airspace
    1.23
     clearance
    1.04
    conservancy
    1.03
    querque
    0.97
     skies
    0.92
     Seym
    0.89
     Lumpur
    0.88
    mares
    0.88
    afety
    0.87
    paio
    0.84
    Activations Density 0.009%

    No Known Activations