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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. 2-RES-JB
    11. 609
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    Explanations

    the word "stunt"

    oai_token-act-pair · gpt-4-turbo

    words related to staged events or promotions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "stunt" or similar performance-related actions

    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
    ishops
    -0.76
    vironment
    -0.74
    cing
    -0.72
    oan
    -0.69
    uni
    -0.69
    elong
    -0.68
    oice
    -0.68
    intendo
    -0.67
    ocative
    -0.66
    choes
    -0.66
    POSITIVE LOGITS
     stunt
    1.05
     stunts
    0.98
    strip
    0.75
    wcsstore
    0.75
     sled
    0.74
     spoof
    0.72
     antics
    0.69
    monkey
    0.67
    woman
    0.67
    smanship
    0.67
    Activations Density 0.009%

    No Known Activations