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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. 9-RES-JB
    11. 17238
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    Explanations

    historical milestones and records

    oai_token-act-pair · gpt-3.5-turbo

    references to historical firsts or unique achievements within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     redistributed
    -0.68
     detach
    -0.61
    leeve
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    inking
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     Refer
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     representations
    -0.58
    luaj
    -0.56
    tackle
    -0.56
     whilst
    -0.56
     cess
    -0.56
    POSITIVE LOGITS
    history
    0.87
     history
    0.81
    ortium
    0.74
    eligible
    0.71
    owitz
    0.65
    clusively
    0.64
    Britain
    0.63
    Brit
    0.63
    atts
    0.63
     mainland
    0.63
    Activations Density 0.121%

    No Known Activations