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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. 9498
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    Explanations

    words related to specific names and surnames, such as "Girard" and "Bourquin"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names, particularly related to people and places

    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
     EE
    -0.82
    MSN
    -0.81
    atari
    -0.78
    gyn
    -0.75
     runes
    -0.73
    é¾įå¥ij士
    -0.72
     Mechdragon
    -0.71
     dex
    -0.71
     DT
    -0.70
     KT
    -0.70
    POSITIVE LOGITS
     Bour
    2.34
     Gir
    2.03
     Lamb
    1.41
     Bacon
    1.32
     Berger
    1.27
     Alexandria
    1.23
     Rutherford
    1.23
     Clement
    1.17
     Alexand
    1.14
     Lyons
    1.13
    Activations Density 0.048%

    No Known Activations