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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. 11-RES-JB
    11. 11798
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    Explanations

    references to watching or viewing videos

    oai_token-act-pair · gpt-3.5-turbo

    references to videos or viewing experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    shield
    -0.72
    ãĤ¢ãĥ«
    -0.69
    ãĥį
    -0.66
    ledged
    -0.66
    ãĤ¦ãĤ¹
    -0.66
    nir
    -0.65
    afort
    -0.64
    itary
    -0.64
    女
    -0.64
    ername
    -0.62
    POSITIVE LOGITS
     videos
    1.42
     unfold
    1.36
     livestream
    1.31
     footage
    1.28
     documentaries
    1.27
     clips
    1.22
     video
    1.21
     replay
    1.18
     documentary
    1.15
     broadcasts
    1.15
    Activations Density 0.273%

    No Known Activations