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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. 15608
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    INDEX
    Explanations

    verbs or phrases indicating potential threats or risks

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe potential threats

    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
    tery
    -0.70
    lex
    -0.69
    ocket
    -0.68
     Zup
    -0.67
    à¼
    -0.62
     ILCS
    -0.61
    @#&
    -0.60
     Nanto
    -0.60
    ergy
    -0.60
     Ago
    -0.59
    POSITIVE LOGITS
    idon
    1.16
     posed
    0.89
    atoon
    0.83
     poses
    0.82
     pose
    0.81
     hazards
    0.76
     dangers
    0.72
     Danger
    0.72
    hran
    0.71
     vulner
    0.71
    Activations Density 0.019%

    No Known Activations