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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. 3-RES-JB
    11. 12598
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    INDEX
    Explanations

    proper nouns related to a specific location or culture

    oai_token-act-pair · gpt-3.5-turbo

    references to the Basque region

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rieve
    -0.78
     Yankee
    -0.65
    raught
    -0.65
     spect
    -0.63
    ODUCT
    -0.62
     Oaks
    -0.62
    entric
    -0.61
     Podesta
    -0.61
     Shades
    -0.61
    ousel
    -0.60
    POSITIVE LOGITS
    ches
    0.94
    chet
    0.90
    Bas
    0.89
    emark
    0.85
    MpServer
    0.84
    sembly
    0.84
    bas
    0.83
    xual
    0.82
    bat
    0.81
    ement
    0.80
    Activations Density 0.007%

    No Known Activations