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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. 8575
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    Explanations

    keywords related to unhealthy or negative behaviors and attributes

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative behaviors, emotions, or experiences

    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
    Ö¼
    -0.87
    uana
    -0.71
    Thumbnail
    -0.68
    leneck
    -0.65
    âķIJâķIJ
    -0.65
    emate
    -0.65
    ollar
    -0.62
    hyde
    -0.62
     Attribution
    -0.61
    ressor
    -0.61
    POSITIVE LOGITS
     amounts
    0.97
     quantities
    0.94
     shots
    0.93
     copies
    0.91
    shots
    0.91
    cards
    0.90
     messages
    0.89
    acts
    0.88
    balls
    0.88
     rounds
    0.88
    Activations Density 0.760%

    No Known Activations