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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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    Explanations

    terms related to illegal activities involving the transportation of goods or people, particularly emphasizing trafficking

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to trafficking

    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
    ¯¯
    -0.72
    ucle
    -0.69
    arios
    -0.67
    igans
    -0.67
    uclear
    -0.66
    monds
    -0.66
    thus
    -0.65
    nect
    -0.65
    peror
    -0.64
    ses
    -0.64
    POSITIVE LOGITS
     trafficking
    1.19
     Traff
    1.04
     traff
    0.81
     victims
    0.80
     traffickers
    0.79
     Victims
    0.79
     offenders
    0.77
     gangs
    0.75
     offences
    0.74
     offenses
    0.73
    Activations Density 0.027%

    No Known Activations