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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. 9-RES-JB
    11. 1778
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    Explanations

    proper nouns related to the Star Wars universe, such as character names and movie titles

    oai_token-act-pair · gpt-3.5-turbo

    references to popular films or film-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ̶
    -0.72
    pees
    -0.65
    ebin
    -0.64
    ffee
    -0.64
    GBT
    -0.63
    organic
    -0.63
     Vaugh
    -0.63
    igg
    -0.63
    ν
    -0.62
    20439
    -0.62
    POSITIVE LOGITS
     Profile
    1.02
     Converted
    0.93
     Introduction
    0.88
     vs
    0.87
     Overview
    0.86
     ::
    0.86
     âĵĺ
    0.83
    âĦ¢:
    0.83
     :=
    0.83
     =
    0.82
    Activations Density 0.432%

    No Known Activations