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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. 0-RES-JB
    11. 16568
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    Explanations

    words related to the oil industry

    oai_token-act-pair · gpt-3.5-turbo

    references to oil-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CLSID
    -0.82
     Stanton
    -0.72
     Monk
    -0.68
     Sym
    -0.68
     domain
    -0.66
     class
    -0.63
     respondent
    -0.63
     summons
    -0.63
     Psy
    -0.62
     Franken
    -0.61
    POSITIVE LOGITS
    oil
    5.05
    OIL
    2.80
    Oil
    2.01
    oiler
    1.82
     Oil
    1.63
     oil
    1.42
     oils
    1.11
     Petroleum
    1.07
    oak
    1.06
    roleum
    1.04
    Activations Density 0.008%

    No Known Activations