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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. 3-RES-JB
    11. 23632
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    INDEX
    Explanations

    reminders or instructions for specific actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to caution and advice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ELD
    -0.74
     tainted
    -0.70
    Radio
    -0.66
    road
    -0.65
     pandemonium
    -0.62
     collapsing
    -0.62
     itself
    -0.62
     metast
    -0.62
    class
    -0.61
    operated
    -0.61
    POSITIVE LOGITS
     preferably
    0.83
     caution
    0.81
     agre
    0.75
    ichever
    0.73
    ventus
    0.72
     compr
    0.72
     beware
    0.71
     Refresh
    0.68
    anwhile
    0.68
     caveats
    0.67
    Activations Density 0.400%

    No Known Activations