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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. 13650
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    Explanations

    references to places or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific institutions and related entities

    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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    Negative Logits
     Notting
    -0.74
     Swordsman
    -0.72
     Raphael
    -0.71
     Aram
    -0.70
     Garry
    -0.67
     Beet
    -0.65
     Lust
    -0.65
     Ster
    -0.63
     Flesh
    -0.63
    xual
    -0.63
    POSITIVE LOGITS
     TX
    1.46
     NY
    1.46
     NJ
    1.45
     MN
    1.44
    TX
    1.44
    NJ
    1.41
     HI
    1.40
     TN
    1.38
     CA
    1.37
     KS
    1.36
    Activations Density 0.109%

    No Known Activations