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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. 1-RES-JB
    11. 3238
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    Explanations

    proper nouns related to a specific location or person

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific name or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dit
    -0.82
    ship
    -0.70
    tainment
    -0.67
    tions
    -0.66
     Appropriations
    -0.66
    ATOR
    -0.66
    yrinth
    -0.65
     McCann
    -0.65
    sburgh
    -0.63
    LECT
    -0.62
    POSITIVE LOGITS
     Sha
    1.26
    ikh
    0.89
     Tsu
    0.87
    olin
    0.87
    isha
    0.86
    osh
    0.85
    ivas
    0.85
    ulk
    0.84
     Yao
    0.79
    jah
    0.77
    Activations Density 0.007%

    No Known Activations