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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. 9-RES-JB
    11. 1023
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    INDEX
    Explanations

    phrases expressing optimism

    oai_token-act-pair · gpt-3.5-turbo

    expressions of optimism or positive outlooks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.90
    ĸļ
    -0.83
    avis
    -0.77
     contiguous
    -0.73
    drivers
    -0.70
    hid
    -0.69
    holes
    -0.68
    abase
    -0.67
    artifacts
    -0.67
    DoS
    -0.66
    POSITIVE LOGITS
     optimism
    1.12
     optimistic
    1.12
     outlook
    1.05
    essim
    1.00
     upbeat
    0.96
     hopeful
    0.89
     prospects
    0.87
     pessimistic
    0.79
     pessim
    0.77
     forecasts
    0.77
    Activations Density 0.099%

    No Known Activations