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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. 6-RES-JB
    11. 11643
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    Explanations

    pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    repeated pronouns, specifically "it"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Exit
    -0.65
     Thousand
    -0.64
     Benny
    -0.63
     Gran
    -0.62
     Dome
    -0.61
     Friend
    -0.61
     Dayton
    -0.60
     Colonial
    -0.60
    stead
    -0.58
     Advent
    -0.58
    POSITIVE LOGITS
    asca
    0.90
    displayText
    0.86
    self
    0.82
    unes
    0.77
    urses
    0.75
    chy
    0.75
    alian
    0.74
     intends
    0.72
    chwitz
    0.72
     indo
    0.71
    Activations Density 0.095%

    No Known Activations