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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. 1-RES-JB
    11. 6449
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    Explanations

    words related to the extraction and production of shale gas

    oai_token-act-pair · gpt-3.5-turbo

    references to shale gas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iences
    -0.77
    ittal
    -0.74
    erry
    -0.72
    hips
    -0.71
     Vector
    -0.71
    ship
    -0.70
    alities
    -0.70
    enance
    -0.70
    travel
    -0.70
    ership
    -0.69
    POSITIVE LOGITS
     shale
    1.05
     drilling
    0.85
     oil
    0.75
     formations
    0.73
     fracking
    0.73
     knots
    0.71
     psychiat
    0.68
     repentance
    0.68
     petroleum
    0.68
     crim
    0.67
    Activations Density 0.017%

    No Known Activations