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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. 19754
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    Explanations

    mentions of demographic groups or economic terms related to people

    oai_token-act-pair · gpt-3.5-turbo

    references to different groups of people in a socioeconomic context

    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
    rawdownloadcloneembedreportprint
    -0.79
    tainment
    -0.78
    apixel
    -0.76
    ories
    -0.67
    xon
    -0.67
     VIDEOS
    -0.66
     applause
    -0.66
     Dragonbound
    -0.63
    aughs
    -0.60
    \/\/
    -0.59
    POSITIVE LOGITS
     who
    1.10
     whose
    1.03
     born
    1.03
     undergoing
    1.00
     residing
    0.96
     nearing
    0.96
     wishing
    0.93
     experiencing
    0.92
     diagnosed
    0.91
     addicted
    0.91
    Activations Density 0.306%

    No Known Activations