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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. 18662
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    Explanations

    mentions of arrests

    oai_token-act-pair · gpt-3.5-turbo

    references to arrests and related law enforcement actions

    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
    pace
    -0.81
    soDeliveryDate
    -0.77
    emonic
    -0.72
    ÃŁ
    -0.69
    vironment
    -0.67
     enthus
    -0.67
    vana
    -0.66
     embr
    -0.65
    ctory
    -0.64
    issance
    -0.63
    POSITIVE LOGITS
    ees
    1.04
     Warrant
    1.02
     warrants
    0.87
     warrant
    0.83
    able
    0.78
    rained
    0.78
    ments
    0.77
     arrest
    0.77
     Arrest
    0.74
    ee
    0.73
    Activations Density 0.033%

    No Known Activations