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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    mentions of people being detained or held in custody

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals being detained

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clerosis
    -0.80
    vironment
    -0.72
    ocaly
    -0.66
    hl
    -0.65
    bold
    -0.65
    ammy
    -0.64
    jri
    -0.63
    Guide
    -0.62
    soDeliveryDate
    -0.62
    ply
    -0.61
    POSITIVE LOGITS
     detained
    1.15
     detain
    1.06
     detainees
    0.93
     prisoners
    0.80
     handcuffed
    0.79
     detention
    0.79
     aback
    0.78
     det
    0.75
     juveniles
    0.71
     hostages
    0.71
    Activations Density 0.012%

    No Known Activations