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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. 0-RES-JB
    11. 14839
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    INDEX
    Explanations

    proper nouns starting with "Cu"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Cupertino

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REAM
    -0.68
    vernment
    -0.64
    ILD
    -0.63
     orphans
    -0.63
    live
    -0.63
     Lindsey
    -0.62
    essional
    -0.61
     Predators
    -0.61
    ORY
    -0.61
    rik
    -0.60
    POSITIVE LOGITS
     Cu
    4.29
    Cu
    3.54
     cu
    1.96
    cu
    1.53
     Cul
    1.34
     Cer
    1.15
     Pu
    1.12
     Alc
    1.11
     Au
    1.10
     Guan
    1.06
    Activations Density 0.024%

    No Known Activations