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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. 5-RES-JB
    6. 8507
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations or governing principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¿½
    -0.95
    lihood
    -0.76
    ĺħ
    -0.76
     Haram
    -0.74
    =-=-
    -0.70
    ACP
    -0.68
    \\\\\\\\
    -0.67
    Fine
    -0.66
     Dangerous
    -0.64
    chal
    -0.64
    POSITIVE LOGITS
    ardless
    1.18
    arious
    1.04
    nant
    1.04
    istration
    1.03
    arded
    1.00
    rett
    1.00
    ulatory
    0.98
    ulators
    0.97
    ulations
    0.97
    roup
    0.94
    Activations Density 0.014%

    No Known Activations