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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. 19555
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    Explanations

    well-wishing phrases

    oai_token-act-pair · gpt-3.5-turbo

    expressions of good wishes and encouragement

    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
     jargon
    -0.67
     Paste
    -0.66
     slang
    -0.65
     infringing
    -0.65
     patented
    -0.62
    cible
    -0.60
     plank
    -0.59
     Lobby
    -0.59
    atech
    -0.58
    edition
    -0.58
    POSITIVE LOGITS
     luck
    1.23
     afterlife
    0.92
     farewell
    0.90
    peace
    0.85
     happiness
    0.85
     goodbye
    0.82
     Merry
    0.81
     prosperity
    0.80
     fortune
    0.79
    fortune
    0.79
    Activations Density 0.135%

    No Known Activations