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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. 16487
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    Explanations

    proper nouns or titles of books, movies, and video games

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and references to titles in various media

    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
    Not in Any Lists

    No Comments

    Negative Logits
     referen
    -0.67
     negotiator
    -0.67
     shutter
    -0.64
     demonstr
    -0.63
     subsystem
    -0.63
     professionally
    -0.62
     trough
    -0.62
     accelerator
    -0.62
     cutoff
    -0.61
     bandwagon
    -0.61
    POSITIVE LOGITS
    nesia
    1.00
    aea
    0.86
    areth
    0.86
    stasy
    0.85
    arenthood
    0.82
    ankind
    0.81
    erity
    0.81
    mort
    0.80
    ortality
    0.80
    ropy
    0.80
    Activations Density 0.184%

    No Known Activations