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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. 2-RES-JB
    11. 1078
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    Explanations

    references to video-related technologies and services

    oai_token-act-pair · gpt-3.5-turbo

    mentions of video content and services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    姫
    -0.76
    sembly
    -0.75
    mary
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    Ĭ±
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    uckle
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    owder
    -0.73
    cffff
    -0.71
    vironment
    -0.69
    avement
    -0.68
    nette
    -0.67
    POSITIVE LOGITS
    clip
    0.91
     footage
    0.87
     clip
    0.86
     clips
    0.85
     video
    0.81
     tutorials
    0.80
     streaming
    0.80
    LAN
    0.78
     poker
    0.76
     codec
    0.75
    Activations Density 0.032%

    No Known Activations