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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. 22866
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    Explanations

    keywords related to natural resources and reserves

    oai_token-act-pair · gpt-3.5-turbo

    references to oil and natural gas reserves

    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
    OTO
    -0.77
    tons
    -0.76
    shape
    -0.70
    corn
    -0.66
    ĪĴ
    -0.64
    Care
    -0.64
     Airl
    -0.63
     Johann
    -0.63
    Hug
    -0.63
    scape
    -0.62
    POSITIVE LOGITS
     reserves
    0.98
     stash
    0.92
     deposits
    0.92
    ailability
    0.91
    lain
    0.91
     reserve
    0.85
     stockpile
    0.83
     reservoir
    0.81
    ngth
    0.81
     accumulated
    0.81
    Activations Density 0.016%

    No Known Activations