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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. 10-RES-JB
    6. 1673
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to think tanks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Summoner
    -0.76
     Sever
    -0.66
     ejected
    -0.63
     PW
    -0.61
     Loyal
    -0.61
     reminders
    -0.60
     reminder
    -0.60
     Rehab
    -0.60
     greeting
    -0.59
     Sparkle
    -0.59
    POSITIVE LOGITS
    tank
    1.38
     tank
    1.08
    piece
    1.02
    ative
    0.98
    pieces
    0.96
    Tank
    0.93
    progress
    0.93
     tanks
    0.92
    erb
    0.91
     Tank
    0.87
    Activations Density 0.039%

    No Known Activations