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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. 13259
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    Explanations

    proper nouns, likely related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    names of people or entities mentioned in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     dilig
    -0.83
     Gear
    -0.79
     Rece
    -0.77
     Jah
    -0.75
     Coff
    -0.75
     Eye
    -0.74
     Hoo
    -0.74
    348
    -0.73
     Sheep
    -0.73
     glove
    -0.73
    POSITIVE LOGITS
    an
    1.74
    AN
    1.73
    ans
    1.61
    anian
    1.47
    anan
    1.42
    ane
    1.39
    ano
    1.38
    ANS
    1.38
    aned
    1.37
    anos
    1.36
    Activations Density 0.188%

    No Known Activations