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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    references to minimum wage policies

    oai_token-act-pair · gpt-3.5-turbo

    references to the minimum wage

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

    No Comments

    Negative Logits
    æ©
    -0.78
    swick
    -0.77
    kok
    -0.75
    quit
    -0.69
    adel
    -0.69
    riz
    -0.69
    alog
    -0.68
    encer
    -0.68
    herer
    -0.68
    çīĪ
    -0.67
    POSITIVE LOGITS
     wage
    0.97
     amount
    0.94
    egal
    0.83
     Wage
    0.82
     minimum
    0.81
     penalties
    0.79
     toler
    0.79
     requirements
    0.79
     penalty
    0.77
     requirement
    0.75
    Activations Density 0.010%

    No Known Activations