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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. 12-RES-JB
    11. 3894
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    INDEX
    Explanations

    information related to sports events and specific individuals involved, possibly focusing on interactions and backstories

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that express strong opinions or beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apest
    -1.08
     guiActiveUn
    -1.04
     ®
    -1.01
    ãĢ
    -1.00
    ÅĤ
    -0.99
    è¦ļéĨĴ
    -0.98
    orkshire
    -0.92
    yrinth
    -0.92
    avour
    -0.91
    ãĤ´
    -0.90
    POSITIVE LOGITS
     NFL
    1.79
     Belichick
    1.73
     Goodell
    1.71
     Heisman
    1.64
     ESPN
    1.63
     Steelers
    1.61
     Peyton
    1.59
     NBA
    1.55
     Seahawks
    1.55
     Colts
    1.54
    Activations Density 0.866%

    No Known Activations