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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16939
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to risk assessment and policy implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vae
    -0.70
    yss
    -0.70
    arger
    -0.66
    --------------------------------------------------------
    -0.65
    vity
    -0.64
    ny
    -0.59
    ights
    -0.59
    aez
    -0.59
     Toad
    -0.58
    tiny
    -0.58
    POSITIVE LOGITS
     generator
    0.96
     calculator
    0.88
     centre
    0.85
    ariat
    0.83
    naires
    0.82
     cooker
    0.81
     zone
    0.79
    lessly
    0.78
     tracker
    0.78
     sheet
    0.77
    Activations Density 0.622%

    No Known Activations