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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. 8-RES-JB
    11. 15104
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    INDEX
    Explanations

    adverbs that are used to emphasize intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    intense descriptions of effort or work

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.63
     menace
    -0.61
    coming
    -0.61
    olulu
    -0.60
     Borough
    -0.60
     Bark
    -0.59
     Issue
    -0.59
    orial
    -0.56
     arrival
    -0.56
     eruption
    -0.56
    POSITIVE LOGITS
     differently
    0.98
    into
    0.93
     smoothly
    0.90
     unrem
    0.86
    onto
    0.85
     slack
    0.79
     overboard
    0.76
    azard
    0.76
     nicely
    0.76
     stra
    0.75
    Activations Density 0.187%

    No Known Activations