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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. 6971
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    INDEX
    Explanations

    terms related to demographic characteristics such as income, age, appearance, education, and skills

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data or metrics related to demographics and health

    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
     McKay
    -0.63
    cknow
    -0.62
    akening
    -0.62
    ollah
    -0.61
     limbo
    -0.58
     reconciliation
    -0.58
     Weinstein
    -0.58
     debugger
    -0.57
    mis
    -0.56
     flashbacks
    -0.55
    POSITIVE LOGITS
     size
    1.54
     age
    1.39
     nationality
    1.33
     Size
    1.30
    Size
    1.28
     stature
    1.27
     length
    1.27
     caliber
    1.25
     thickness
    1.23
    Height
    1.22
    Activations Density 0.953%

    No Known Activations