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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. 9-RES-JB
    11. 4855
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    Explanations

    proper names and organizations, likely related to news and reports

    oai_token-act-pair · gpt-3.5-turbo

    references to analytical organizations or governmental agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ardless
    -0.56
     wagon
    -0.55
     flares
    -0.52
     puppies
    -0.52
    gins
    -0.50
     partying
    -0.49
     handshake
    -0.49
     withdrawals
    -0.49
     selfies
    -0.49
     proceeds
    -0.48
    POSITIVE LOGITS
     Economic
    0.68
     Securities
    0.67
     Research
    0.66
     Institute
    0.64
    Research
    0.64
     Investigative
    0.63
     Statistical
    0.62
     Economics
    0.60
    Poll
    0.60
    Economic
    0.59
    Activations Density 0.942%

    No Known Activations