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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. 7-RES-JB
    11. 14472
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    Explanations

    numerical references to age groups

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     downstream
    -0.71
    paralle
    -0.71
     nozzle
    -0.70
    leneck
    -0.69
     compr
    -0.68
    ichick
    -0.68
    closure
    -0.67
    odon
    -0.67
    oit
    -0.65
    leased
    -0.65
    POSITIVE LOGITS
     Athletic
    0.78
     rugby
    0.75
     basketball
    0.75
     football
    0.74
    s
    0.73
     college
    0.71
     cricket
    0.70
     clubs
    0.69
    UC
    0.68
     Euro
    0.68
    Activations Density 0.047%

    No Known Activations