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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. 12345
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    Explanations

    exclamatory expressions or intensifiers used for emphasis

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disbelief or surprise, particularly using the word "heck."

    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
    xia
    -0.71
    AMI
    -0.69
    bleacher
    -0.66
     medial
    -0.64
    ggles
    -0.63
    ongyang
    -0.63
    ULTS
    -0.62
    MSN
    -0.62
    ministic
    -0.62
    aft
    -0.62
    POSITIVE LOGITS
     heck
    1.27
     Heck
    0.85
    lers
    0.81
    bats
    0.79
     darn
    0.73
    ings
    0.71
    ishly
    0.70
     chuck
    0.69
     hello
    0.68
     HELL
    0.67
    Activations Density 0.004%

    No Known Activations