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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. 6525
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    Explanations

    phrases related to illegal financial activities, specifically money laundering

    oai_token-act-pair · gpt-3.5-turbo

    terms related to money laundering and associated criminal activities

    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
    anke
    -0.77
     overload
    -0.74
     absorption
    -0.69
    izabeth
    -0.67
    patrick
    -0.64
    bek
    -0.64
    anian
    -0.64
    plex
    -0.63
     deprivation
    -0.63
    ulus
    -0.62
    POSITIVE LOGITS
    20439
    0.76
    zees
    0.75
    ancer
    0.73
    uay
    0.69
    roleum
    0.69
    ||||
    0.69
    Ģ
    0.68
    itives
    0.68
    epad
    0.68
    ership
    0.67
    Activations Density 0.035%

    No Known Activations