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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. 2435
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    Explanations

    names of individuals, especially with titles and initials

    oai_token-act-pair · gpt-3.5-turbo

    capital letters indicating people's initials or identifiers

    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
     beware
    -0.63
    ãĤµ
    -0.62
     indu
    -0.60
     opaque
    -0.59
     dehyd
    -0.59
     secondly
    -0.59
    âĢİ
    -0.58
     extraction
    -0.58
     CCTV
    -0.58
    DragonMagazine
    -0.57
    POSITIVE LOGITS
    .,
    0.99
    .
    0.95
    owers
    0.86
    isner
    0.84
    ollen
    0.84
    ipes
    0.84
    augh
    0.84
    essler
    0.84
    aughlin
    0.84
     Bernstein
    0.84
    Activations Density 0.082%

    No Known Activations