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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. 6-RES-JB
    11. 13844
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    Explanations

    phrases related to regulations or legal requirements

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to obligations or mandates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.74
    apest
    -0.71
    VERTISEMENT
    -0.69
    vironment
    -0.68
    lund
    -0.66
     virt
    -0.66
     Atmosp
    -0.65
    ight
    -0.65
    ³³³³³³³³³³³³³³³³
    -0.64
     Balkans
    -0.64
    POSITIVE LOGITS
     compliance
    1.07
     conformity
    0.95
     unanim
    0.89
     adherence
    0.87
    compliance
    0.85
     stricter
    0.83
     nudity
    0.80
     inspections
    0.80
     ratification
    0.79
    Downloadha
    0.78
    Activations Density 0.052%

    No Known Activations