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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. 6-RES-JB
    11. 2599
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    Explanations

    words related to making something stricter or less strict

    oai_token-act-pair · gpt-3.5-turbo

    terms related to restriction and regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ination
    -0.74
    melon
    -0.73
    iop
    -0.66
    ãĥīãĥ©ãĤ´ãĥ³
    -0.66
    riot
    -0.64
    inates
    -0.62
    ios
    -0.62
    è¦ļéĨĴ
    -0.62
    د
    -0.61
    lan
    -0.61
    POSITIVE LOGITS
    laus
    0.82
    hift
    0.81
     depreciation
    0.79
     dramatically
    0.74
     gears
    0.73
    imar
    0.72
     deepen
    0.72
     downwards
    0.72
     considerably
    0.72
     tightening
    0.71
    Activations Density 0.038%

    No Known Activations