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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. 11-RES-JB
    11. 12448
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    INDEX
    Explanations

    exclamatory phrases and words used to encourage action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and encouragement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     divest
    -0.78
     disbel
    -0.76
     credential
    -0.75
     telev
    -0.73
     paramedics
    -0.72
     eroded
    -0.72
     acute
    -0.72
     asserted
    -0.71
     Chomsky
    -0.70
     extingu
    -0.69
    POSITIVE LOGITS
    Hope
    1.66
    EDIT
    1.62
    Anyway
    1.61
    Enjoy
    1.61
    Thanks
    1.51
    Edited
    1.46
    Thank
    1.46
    Feel
    1.43
    Credits
    1.40
    thanks
    1.39
    Activations Density 0.343%

    No Known Activations