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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. 4-RES-JB
    11. 2548
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    Explanations

    references to locations or facilities related to detention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detention centers and detention practices

    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
    bold
    -0.73
    soDeliveryDate
    -0.70
    ãĥ£
    -0.67
    wb
    -0.66
    clerosis
    -0.66
    chrom
    -0.66
    hm
    -0.64
     PsyNet
    -0.62
    shadow
    -0.62
    jc
    -0.62
    POSITIVE LOGITS
     detention
    1.03
     Facility
    0.86
     facilities
    0.86
    rooms
    0.84
     detainees
    0.81
     camps
    0.79
     facility
    0.78
     centers
    0.77
     confinement
    0.77
    atories
    0.75
    Activations Density 0.014%

    No Known Activations