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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. 1-RES-JB
    11. 13244
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    Explanations

    names related to individuals or prominent figures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Francois" and related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.96
    uilt
    -0.85
    oted
    -0.82
    owntown
    -0.82
    ockets
    -0.82
    Reviewer
    -0.82
    ded
    -0.81
    istically
    -0.81
    orage
    -0.79
    oky
    -0.76
    POSITIVE LOGITS
     Francois
    1.52
     François
    1.20
     Hollande
    1.10
     Emmanuel
    0.95
     Gingrich
    0.89
     Fay
    0.86
     Franco
    0.84
     Nicolas
    0.82
     Herbert
    0.82
     Andreas
    0.82
    Activations Density 0.009%

    No Known Activations