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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. 17808
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    Explanations

    mention of the word "oil"

    oai_token-act-pair · gpt-3.5-turbo

    references to the oil industry

    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
    enance
    -1.01
    RON
    -0.89
    rons
    -0.83
    âĸ¬
    -0.75
    iors
    -0.74
    oldemort
    -0.70
     Prob
    -0.69
     Wong
    -0.68
    IENCE
    -0.68
    theless
    -0.68
    POSITIVE LOGITS
    seed
    1.14
     oil
    1.13
     slic
    1.10
     sands
    0.98
     Oil
    0.94
    Oil
    0.94
    oil
    0.93
     tanker
    0.87
     refining
    0.85
     spill
    0.85
    Activations Density 0.017%

    No Known Activations