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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. 9-RES-JB
    11. 23376
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    INDEX
    Explanations

    phrases indicating a need for focus or concentration

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize concentration or focus

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elsen
    -0.73
    pires
    -0.68
    âķIJâķIJ
    -0.68
    ogun
    -0.66
     Zup
    -0.65
    pas
    -0.65
    mpeg
    -0.65
    try
    -0.65
    wrote
    -0.63
    igslist
    -0.63
    POSITIVE LOGITS
     positives
    1.08
     fundamentals
    1.07
     strengths
    1.00
     periphery
    0.96
     essentials
    0.95
     basics
    0.93
     aspects
    0.91
     topics
    0.90
     areas
    0.89
     matters
    0.89
    Activations Density 0.495%

    No Known Activations