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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. 4452
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    Explanations

    terms related to professional sports and athletes

    oai_token-act-pair · gpt-3.5-turbo

    references to professional sports or athletes

    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
    ĸļ
    -0.81
    owship
    -0.80
    ãĤ¼ãĤ¦ãĤ¹
    -0.73
    gow
    -0.67
    appropriately
    -0.66
    ippi
    -0.66
     Spoon
    -0.64
    need
    -0.63
    rils
    -0.63
     SHARES
    -0.62
    POSITIVE LOGITS
    digy
    1.58
    verbs
    1.09
     wrestler
    1.08
     Wrestling
    0.96
    ccess
    0.94
     athlete
    0.93
    blems
    0.93
    spective
    0.92
    actively
    0.92
     wrestling
    0.92
    Activations Density 0.016%

    No Known Activations