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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    proper names containing the syllable "Hen"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Henrik."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    terday
    -0.82
     conclud
    -0.79
    EED
    -0.74
    eele
    -0.74
    anwhile
    -0.72
    ULT
    -0.65
    ateral
    -0.64
    henko
    -0.64
    WAYS
    -0.64
    onge
    -0.63
    POSITIVE LOGITS
    rique
    1.18
    ning
    0.94
    lein
    0.91
    agar
    0.91
    ley
    0.87
    etr
    0.87
    riks
    0.86
    leys
    0.85
    rik
    0.84
     Hen
    0.84
    Activations Density 0.011%

    No Known Activations