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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. 10-RES-JB
    11. 20486
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    users or references to content creators on social media platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNESCO
    -0.92
     financing
    -0.91
     ÂŃ
    -0.88
     newspapers
    -0.84
     profitable
    -0.83
     backward
    -0.82
     fulfilling
    -0.82
     succession
    -0.82
     textbooks
    -0.81
     appointments
    -0.81
    POSITIVE LOGITS
    gamer
    1.29
    bear
    1.25
    guy
    1.23
    Gamer
    1.23
    crow
    1.22
    kid
    1.21
    yip
    1.20
    Gaming
    1.17
    wolf
    1.16
    maxwell
    1.16
    Activations Density 0.312%

    No Known Activations