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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 13387
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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
    inventoryQuantity
    -0.72
    yss
    -0.71
    idious
    -0.69
     sizes
    -0.68
    strings
    -0.68
    wikipedia
    -0.67
     JUSTICE
    -0.64
    dfx
    -0.64
     sockets
    -0.63
     racially
    -0.63
    POSITIVE LOGITS
     Program
    1.28
     Initiative
    1.26
     Fund
    1.25
     Agency
    1.21
     Enhancement
    1.20
     Directorate
    1.20
     Unit
    1.19
     Committee
    1.18
     Branch
    1.18
     Center
    1.18
    Activations Density 0.202%

    No Known Activations