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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. 3-RES-JB
    11. 12120
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    Explanations

    references to locations with the word "Pier."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly piers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bihar
    -0.75
    avez
    -0.73
    imester
    -0.64
    Interstitial
    -0.64
    aries
    -0.63
    ä
    -0.63
    ether
    -0.63
     Universities
    -0.63
    mson
    -0.62
    arial
    -0.61
    POSITIVE LOGITS
     Pier
    1.11
     pier
    1.04
    cer
    0.82
    idon
    0.82
    asus
    0.80
    achy
    0.79
    rette
    0.78
    nown
    0.78
    reon
    0.77
     Borough
    0.74
    Activations Density 0.011%

    No Known Activations