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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. 9-RES-JB
    11. 9042
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cham
    -0.93
     Boo
    -0.85
     Gaul
    -0.83
     Direction
    -0.82
     Vi
    -0.81
     Demand
    -0.80
     Versus
    -0.79
     Spur
    -0.78
     Dism
    -0.78
     Stretch
    -0.77
    POSITIVE LOGITS
    podcast
    1.22
    erc
    1.20
    imore
    1.17
    music
    1.17
    aylor
    1.14
    ibrary
    1.14
    estate
    1.12
    eworks
    1.12
    pson
    1.11
    ead
    1.10
    Activations Density 0.149%

    No Known Activations