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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. 0-RES-JB
    11. 20027
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    Explanations

    phrases related to military operations or law enforcement missions

    oai_token-act-pair · gpt-3.5-turbo

    references to organized operations or missions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    qus
    -0.87
    izabeth
    -0.71
     bench
    -0.70
     fres
    -0.69
    vere
    -0.65
     taller
    -0.65
     scored
    -0.64
     gorge
    -0.63
     franc
    -0.63
     dismiss
    -0.62
    POSITIVE LOGITS
     Operation
    3.89
    Operation
    3.85
     operation
    1.91
     OPER
    1.83
     Operations
    1.81
    operation
    1.61
     operations
    1.57
     Oper
    1.51
    Oper
    1.26
     Operator
    1.26
    Activations Density 0.014%

    No Known Activations