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

    locations or activities related to the beach

    oai_token-act-pair · gpt-3.5-turbo

    references to "beach."

    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
    Interstitial
    -0.80
    interstitial
    -0.75
    ilyn
    -0.73
    Wilson
    -0.69
    ioch
    -0.69
    NESS
    -0.68
    alez
    -0.68
    avery
    -0.65
     fetal
    -0.65
    thumbnails
    -0.63
    POSITIVE LOGITS
     beach
    1.00
     Beach
    0.98
     volleyball
    0.96
    side
    0.96
    front
    0.95
    pole
    0.90
    goers
    0.90
     beaches
    0.83
     Splash
    0.82
    walker
    0.80
    Activations Density 0.006%

    No Known Activations