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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. 2681
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    Explanations

    descriptions related to sports performance and skills, especially in football

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

    qualities and abilities related to athletic performance

    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
    actionDate
    -1.01
    ipel
    -0.81
    20439
    -0.79
    è¦ļéĨĴ
    -0.74
    artisan
    -0.73
    cens
    -0.70
    reply
    -0.68
    ãĥĦ
    -0.65
    oeuv
    -0.65
    wana
    -0.65
    POSITIVE LOGITS
     matchup
    1.00
     regression
    0.99
     trait
    0.96
     regress
    0.95
     deficiency
    0.87
     deficiencies
    0.86
     ceiling
    0.86
     athleticism
    0.86
     glaring
    0.86
     underrated
    0.84
    Activations Density 0.367%

    No Known Activations