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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. 15191
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    INDEX
    Explanations

    words related to consistency and being consistent with rules or values

    oai_token-act-pair · gpt-3.5-turbo

    references to consistency in policies, practices, or behaviors

    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
    doors
    -0.82
    olit
    -0.79
    worms
    -0.75
    mong
    -0.75
    crow
    -0.73
    doms
    -0.72
    thur
    -0.71
    stals
    -0.70
    tu
    -0.70
    rection
    -0.69
    POSITIVE LOGITS
     consistency
    0.88
    itarian
    0.88
    ibilities
    0.83
     offender
    0.82
    iated
    0.81
    ually
    0.79
    ibly
    0.78
    icut
    0.78
    aneously
    0.77
    ively
    0.77
    Activations Density 0.033%

    No Known Activations