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

    the word "stand"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stand" in various contexts

    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
    EStream
    -0.75
    uliffe
    -0.63
    nesota
    -0.62
     grand
    -0.59
     electron
    -0.59
    olean
    -0.59
     retro
    -0.57
     electronically
    -0.56
     redacted
    -0.56
    ersive
    -0.56
    POSITIVE LOGITS
    ards
    1.01
    still
    0.94
    ings
    0.91
    owed
    0.88
    s
    0.87
    ardless
    0.87
    ances
    0.86
    ows
    0.84
    ingly
    0.84
    pipe
    0.84
    Activations Density 0.011%

    No Known Activations