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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. 3-RES-JB
    6. 21875
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    Explanations

    mentions of video games or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to video games

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.86
     Dew
    -0.71
    æ©
    -0.69
    æĢ
    -0.66
     Waves
    -0.61
    imen
    -0.61
     Span
    -0.59
     fragmented
    -0.59
     Cox
    -0.58
     Peoples
    -0.58
    POSITIVE LOGITS
     consoles
    0.82
    eers
    0.74
     enthusiasts
    0.72
     adaptations
    0.71
     videog
    0.69
    pei
    0.68
     Thrones
    0.68
    acters
    0.68
    escape
    0.68
     adaptation
    0.68
    Activations Density 0.071%

    No Known Activations