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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. 1-RES-JB
    11. 22185
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    Explanations

    references to database-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to databases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    orthy
    -0.72
    icks
    -0.71
    irth
    -0.70
    ride
    -0.69
    chie
    -0.68
    bite
    -0.68
    olulu
    -0.67
    neg
    -0.66
    wich
    -0.66
    angelo
    -0.65
    POSITIVE LOGITS
     database
    1.32
     databases
    1.18
    database
    1.14
     schema
    0.98
     Database
    0.95
    Database
    0.88
    omial
    0.84
     lookup
    0.83
     directory
    0.79
     backend
    0.79
    Activations Density 0.008%

    No Known Activations