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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. 18784
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    Explanations

    words related to railway infrastructure or equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to rail kits and related terminology

    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
     pronounced
    -0.68
     Metatron
    -0.67
     Boe
    -0.66
     HIP
    -0.65
    enegger
    -0.63
     EDT
    -0.63
     ç¥ŀ
    -0.62
    arian
    -0.62
    ------------------------------------------------
    -0.62
     Manson
    -0.62
    POSITIVE LOGITS
    ways
    0.92
    Rail
    0.83
    lust
    0.81
    scope
    0.79
     Rail
    0.78
    mind
    0.77
     Roads
    0.75
    tracks
    0.75
    casting
    0.74
    ster
    0.73
    Activations Density 0.014%

    No Known Activations