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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. 7-RES-JB
    6. 14870
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    Explanations

    mentions of the word "video" followed by a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    mentions of video games

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    å§«
    -0.90
    owder
    -0.80
    sembly
    -0.78
    izabeth
    -0.77
     Rover
    -0.75
    Ĭ±
    -0.74
    uckle
    -0.70
    vier
    -0.68
    places
    -0.67
    wegian
    -0.67
    POSITIVE LOGITS
     clips
    1.04
     clip
    1.04
    clip
    1.02
    LAN
    0.97
     footage
    0.93
     playback
    0.89
     streaming
    0.86
     codec
    0.85
     cameras
    0.82
     tutorials
    0.80
    Activations Density 0.044%

    No Known Activations