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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. 10-RES-JB
    11. 23279
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    Explanations

    phrases containing some sort of instruction or advice

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "Ļ"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     mathemat
    -0.69
     Jem
    -0.61
     Bron
    -0.60
     networking
    -0.59
     Skydragon
    -0.59
     Monkey
    -0.58
     decomp
    -0.58
     unaff
    -0.57
     Nightmare
    -0.57
     brisk
    -0.57
    POSITIVE LOGITS
    ¢
    0.95
    Ļ
    0.87
    ¯¯
    0.83
    ¬
    0.82
    ħ
    0.81
    rm
    0.81
    ¹
    0.79
    s
    0.79
    TION
    0.77
    µ
    0.77
    Activations Density 0.239%

    No Known Activations