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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. 6890
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    code syntax elements related to programming in a specific language

    oai_token-act-pair · gpt-3.5-turbo
    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
    grain
    -0.90
    orsi
    -0.84
    won
    -0.78
    stood
    -0.75
    geist
    -0.74
    leck
    -0.73
    uga
    -0.70
    xual
    -0.70
    ngth
    -0.69
    oil
    -0.69
    POSITIVE LOGITS
     bool
    1.19
     enum
    1.18
     void
    1.11
     boolean
    1.06
     static
    1.00
     async
    0.90
     fn
    0.88
     struct
    0.87
     uint
    0.86
     func
    0.85
    Activations Density 0.043%

    No Known Activations