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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. 23200
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    Explanations

    positive and hopeful attitudes or outlooks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of optimism

    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
    hire
    -0.83
    drivers
    -0.81
    sites
    -0.78
    DoS
    -0.76
    avis
    -0.76
    Deep
    -0.71
    deep
    -0.70
    artifacts
    -0.69
    mine
    -0.68
    Lay
    -0.67
    POSITIVE LOGITS
     optimistic
    1.25
     optimism
    1.19
     upbeat
    1.07
    essim
    0.91
     pessim
    0.86
     outlook
    0.85
     pessimistic
    0.84
     hopeful
    0.84
     hope
    0.79
     atmosp
    0.77
    Activations Density 0.012%

    No Known Activations