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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. 3-RES-JB
    11. 18427
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    Explanations

    references to pap and papacy

    oai_token-act-pair · gpt-3.5-turbo

    references to the Papacy

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.92
    IFE
    -0.86
    Beh
    -0.84
    é¾
    -0.79
    ¥µ
    -0.77
    ACTED
    -0.77
    nesota
    -0.77
    hirt
    -0.77
    ;;;;;;;;;;;;
    -0.77
    IGHTS
    -0.77
    POSITIVE LOGITS
    yrus
    1.14
    acy
    1.02
    ular
    0.94
    arella
    0.89
    ros
    0.89
    azz
    0.88
     pap
    0.87
    apan
    0.86
    aging
    0.84
    antry
    0.84
    Activations Density 0.009%

    No Known Activations