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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. 11-RES-JB
    11. 7752
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    Explanations

    descriptive statistics in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports performance and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    Solution
    -0.75
    ãĥ³ãĤ¸
    -0.74
    xual
    -0.73
     dstg
    -0.71
     Unsure
    -0.71
    fix
    -0.69
    letter
    -0.68
     foss
    -0.67
    */(
    -0.67
     contrace
    -0.67
    POSITIVE LOGITS
     accomplishments
    1.71
     accomplishment
    1.69
     accol
    1.60
     achievements
    1.53
     achievement
    1.50
     feats
    1.45
     feat
    1.37
     impressive
    1.26
     greatness
    1.24
     Achievements
    1.22
    Activations Density 0.476%

    No Known Activations