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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. 12537
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    Explanations

    phrases related to specific locations or scenes

    oai_token-act-pair · gpt-3.5-turbo

    scenes involving children and families

    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
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    No Comments

    Negative Logits
    Ļ½
    -0.78
    ãĥĥãĥī
    -0.76
    "âĢ¦
    -0.74
    forth
    -0.72
    ©¶æ¥µ
    -0.66
     >=
    -0.63
     kindred
    -0.62
     whopping
    -0.61
     âī¥
    -0.61
    Wow
    -0.60
    POSITIVE LOGITS
     silhou
    0.96
     REUTERS
    0.87
     damaged
    0.86
     dismant
    0.81
     pictured
    0.80
    window
    0.79
     destroyed
    0.78
     dismantled
    0.77
     inspect
    0.76
     dismantle
    0.75
    Activations Density 0.236%

    No Known Activations