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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. 0-RES-JB
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    Explanations

    mentions of legal terms related to juveniles, such as juvenile delinquents, juvenile justice, and juvenile detention

    oai_token-act-pair · gpt-3.5-turbo

    references to juveniles and related legal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    planes
    -0.79
     vows
    -0.72
    ours
    -0.67
    ãĥŀ
    -0.66
     Powers
    -0.66
    Lens
    -0.64
     Heaven
    -0.63
     Cross
    -0.63
    oscope
    -0.62
     Sur
    -0.62
    POSITIVE LOGITS
     juvenile
    3.38
     juveniles
    2.81
     Juven
    2.52
    juven
    1.86
     juven
    1.75
     delinqu
    1.45
     immature
    1.42
    Ju
    1.40
     adolescent
    1.36
     delinquent
    1.26
    Activations Density 0.036%

    No Known Activations