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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. 14653
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    Explanations

    words related to communication, declarations, and instructions

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to extreme emotions or reactions

    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
     Southeast
    -0.70
     Nato
    -0.63
     development
    -0.63
     Economic
    -0.63
     Binding
    -0.63
     Exploration
    -0.62
     Directory
    -0.61
     NEC
    -0.61
     Scientific
    -0.61
     Prospect
    -0.61
    POSITIVE LOGITS
    !!!!
    1.10
    shit
    1.09
    Ô
    1.08
     emoji
    1.07
     ðŁĺ
    1.04
    !!!
    1.03
    ðŁĺ
    1.01
    !:
    1.01
     ðŁij
    0.99
    ðŁ
    0.99
    Activations Density 0.408%

    No Known Activations