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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. 6-RES-JB
    11. 20581
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    Explanations

    terms related to the oil and gas industry

    oai_token-act-pair · gpt-3.5-turbo

    references to the oil and gas industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :{
    -0.71
    asonable
    -0.70
     Fold
    -0.69
    iece
    -0.67
    ennes
    -0.65
    }}}
    -0.65
     Starship
    -0.65
     Shepard
    -0.64
    blance
    -0.64
     Jury
    -0.63
    POSITIVE LOGITS
     ammon
    0.76
    hammad
    0.75
     cartels
    0.74
     dams
    0.74
     sands
    0.71
     extraction
    0.70
    aundering
    0.70
     plantations
    0.70
     traffickers
    0.69
    eros
    0.69
    Activations Density 0.305%

    No Known Activations