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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    4. Residual Stream
    5. 0-RES-JB
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    INDEX
    Explanations

    mentions of the word "Nintendo."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Nintendo and its related products or context

    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
    hemy
    -0.71
    ienne
    -0.68
     Alger
    -0.67
    Alexander
    -0.67
    urg
    -0.67
    orget
    -0.65
    ites
    -0.65
    agh
    -0.64
    lesh
    -0.63
    abeth
    -0.62
    POSITIVE LOGITS
     Nintendo
    3.56
    Nintendo
    3.26
     Wii
    2.22
     Sega
    2.09
    intendo
    2.00
     Atari
    1.96
     Capcom
    1.96
     Konami
    1.92
     Ubisoft
    1.90
     NES
    1.82
    Activations Density 0.016%

    No Known Activations