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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. 6-RES-JB
    11. 11794
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    Explanations

    video-related words or prompts

    oai_token-act-pair · gpt-3.5-turbo

    references to videos that can be watched

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vironment
    -0.88
    abil
    -0.77
    Ĭ±
    -0.76
    姫
    -0.71
    forth
    -0.69
    itage
    -0.68
    yo
    -0.67
    naires
    -0.66
    essee
    -0.66
    itiz
    -0.66
    POSITIVE LOGITS
     clip
    0.97
     Thumbnails
    0.93
     footage
    0.89
     clips
    0.85
     playback
    0.79
     filmed
    0.79
     Clip
    0.75
    clip
    0.73
     Surveillance
    0.73
     Video
    0.70
    Activations Density 0.035%

    No Known Activations