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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. 24242
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    Explanations

    mentions of the word "Cher."

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Cher" and associated variations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ument
    -0.76
    ¥µ
    -0.74
    REG
    -0.74
    ELD
    -0.72
    gamer
    -0.71
     Polo
    -0.67
    ORN
    -0.64
    ETH
    -0.63
    Han
    -0.62
    Wan
    -0.62
    POSITIVE LOGITS
    bourg
    1.15
    bats
    0.92
    izers
    0.90
     Blossom
    0.87
    bone
    0.84
    ries
    0.80
    pillar
    0.80
    isers
    0.80
    mont
    0.79
    cher
    0.77
    Activations Density 0.080%

    No Known Activations