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

    references to the sports team "Raiders" with varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Raiders."

    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
    ician
    -0.78
    onymous
    -0.77
    ements
    -0.73
    ting
    -0.73
    mble
    -0.69
    itarian
    -0.69
    theless
    -0.68
    iment
    -0.68
    istical
    -0.67
    glers
    -0.67
    POSITIVE LOGITS
     Raiders
    1.33
    Raid
    1.04
     Athletics
    0.94
    heed
    0.77
    Jar
    0.77
     Raider
    0.76
     Coliseum
    0.75
    Sports
    0.72
     Stadium
    0.71
     Skydragon
    0.70
    Activations Density 0.008%

    No Known Activations