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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
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    Explanations

    mentions of the name "Don"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Don" in various contexts

    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
    âĹ¼
    -0.77
    EStream
    -0.75
    EStreamFrame
    -0.73
    anwhile
    -0.72
    sighted
    -0.63
    cffffcc
    -0.63
    ULT
    -0.62
     LCS
    -0.62
    udic
    -0.61
    EVA
    -0.61
    POSITIVE LOGITS
    't
    1.08
    nie
    1.08
     Draper
    0.98
    atives
    0.97
    ners
    0.91
    ning
    0.89
    etsk
    0.88
    ating
    0.88
    ates
    0.87
    ations
    0.86
    Activations Density 0.033%

    No Known Activations