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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. 2674
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    oai_token-act-pair · gpt-3.5-turbo

    references to authorship or attribution in the text

    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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    No Comments

    Negative Logits
    Changed
    -0.65
    Fourth
    -0.65
    rient
    -0.65
    Lastly
    -0.61
     adversary
    -0.61
    significant
    -0.61
    rients
    -0.60
     commenced
    -0.60
    References
    -0.60
    balanced
    -0.59
    POSITIVE LOGITS
     Pablo
    1.07
     Evan
    1.05
     Pete
    1.03
     Olivier
    1.01
     Chip
    1.00
     Bett
    1.00
     Kev
    1.00
     Spencer
    0.99
     Slate
    0.99
     Flickr
    0.99
    Activations Density 0.051%

    No Known Activations