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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
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    INDEX
    Explanations

    mentions of the word "Who" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Who."

    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
    lag
    -0.72
     bindings
    -0.72
    lined
    -0.67
     implemented
    -0.66
     adjustment
    -0.61
    etooth
    -0.61
     emission
    -0.60
    angan
    -0.60
     operation
    -0.59
     execution
    -0.59
    POSITIVE LOGITS
     Who
    3.37
    Who
    2.35
    who
    1.74
     WHO
    1.73
    WHO
    1.49
     Whoever
    1.43
     Which
    1.42
     who
    1.30
     What
    1.25
     Where
    1.24
    Activations Density 0.014%

    No Known Activations