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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 22700
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    Explanations

    dates or durations of time followed by an activity or observation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal observations and experiences

    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
     secondly
    -0.74
     Secondly
    -0.74
     =>
    -0.71
    "},{"
    -0.70
     Conclusion
    -0.70
     additions
    -0.69
    =>
    -0.65
    ###
    -0.65
    obin
    -0.63
     departure
    -0.63
    POSITIVE LOGITS
    pired
    1.09
     resided
    1.07
     relied
    0.95
     depended
    0.91
     dreamed
    0.91
     awaited
    0.88
     operated
    0.85
     maintained
    0.84
     waged
    0.84
     tirelessly
    0.84
    Activations Density 0.200%

    No Known Activations