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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. 4-RES-JB
    11. 9609
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    Explanations

    proper names, specifically focusing on the name "Jorge"

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with individuals and teams, particularly those related to sports and media

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

    No Comments

    Negative Logits
    insula
    -0.90
    enium
    -0.87
    NetMessage
    -0.81
    apixel
    -0.80
    cript
    -0.79
    alty
    -0.78
    entin
    -0.77
    icipated
    -0.77
    ablishment
    -0.74
    rolet
    -0.74
    POSITIVE LOGITS
     hither
    0.75
     Lorenzo
    0.74
     Kush
    0.73
     EDITION
    0.71
     Luis
    0.71
    angler
    0.66
     Paulo
    0.65
     Karin
    0.64
     Neph
    0.63
     Revel
    0.63
    Activations Density 0.028%

    No Known Activations