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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 21009
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    INDEX
    Explanations

    mentions of crude oil or related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to crude oil and its production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTO
    -0.78
    phis
    -0.73
    ership
    -0.72
    é¾įå
    -0.70
    OVA
    -0.70
     Jury
    -0.69
     Kinnikuman
    -0.69
    ":["
    -0.68
    Interstitial
    -0.66
    estern
    -0.66
    POSITIVE LOGITS
     oil
    1.08
     crude
    0.97
     Oil
    0.88
     futures
    0.87
    ly
    0.85
    lycer
    0.84
     oils
    0.82
     barrels
    0.81
     refinery
    0.81
    roleum
    0.78
    Activations Density 0.011%

    No Known Activations