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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. 21413
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    Explanations

    contractions

    oai_token-act-pair · gpt-3.5-turbo

    negations or expressions of refusal

    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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    Negative Logits
     misdem
    -0.66
     Axis
    -0.65
     adversaries
    -0.62
     newcom
    -0.62
     Published
    -0.60
     DRAGON
    -0.58
     moving
    -0.57
     nearest
    -0.57
     Mayhem
    -0.56
     Cinderella
    -0.55
    POSITIVE LOGITS
    't
    1.98
    ´
    1.32
    \'
    1.24
    ÃŃ
    1.21
    uts
    1.20
    ned
    1.17
    etsk
    1.08
    ÃĥÃĤ
    1.05
    `
    1.05
    ut
    1.03
    Activations Density 0.091%

    No Known Activations