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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. 2628
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    Explanations

    phrases related to safety and potential danger

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety and health risks

    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
    soType
    -1.04
    agra
    -0.87
    sheets
    -0.80
    ophers
    -0.79
    glas
    -0.78
    ann
    -0.78
    ership
    -0.77
    arnaev
    -0.76
    utra
    -0.76
    sheet
    -0.76
    POSITIVE LOGITS
     wastes
    0.77
     prejudice
    0.74
     unreasonable
    0.73
     duplication
    0.72
     unnatural
    0.71
     waste
    0.71
     compromises
    0.69
     haste
    0.68
     improper
    0.67
     precon
    0.66
    Activations Density 0.040%

    No Known Activations