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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. 7-RES-JB
    11. 11844
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    Explanations

    words related to opinions, beliefs, and sentiments

    oai_token-act-pair · gpt-3.5-turbo

    words that express opinions or feelings about preferences and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    por
    -0.86
    cedented
    -0.85
    mania
    -0.78
    veland
    -0.78
    enegger
    -0.71
    itus
    -0.71
    eda
    -0.70
    been
    -0.70
    esa
    -0.69
    arta
    -0.69
    POSITIVE LOGITS
     behavi
    0.72
     beforehand
    0.70
    DEV
    0.66
    wolves
    0.62
     unsuccessfully
    0.61
     Soviet
    0.60
     originally
    0.60
     tremend
    0.60
     initially
    0.60
     Ukrain
    0.58
    Activations Density 0.624%

    No Known Activations