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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. 4075
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    INDEX
    Explanations

    numerical values related to distances or measurements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to yardage in sports statistics

    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
     Wik
    -0.64
     Hels
    -0.62
    izoph
    -0.61
    eers
    -0.60
     Mothers
    -0.58
    Premium
    -0.57
     Barcl
    -0.56
     Summers
    -0.56
     psychiat
    -0.56
    oice
    -0.56
    POSITIVE LOGITS
     rusher
    0.96
     rushing
    0.95
     touchdown
    0.76
     Passing
    0.76
    acking
    0.74
     yards
    0.73
     passer
    0.73
    outing
    0.72
     receiving
    0.71
    luster
    0.70
    Activations Density 0.030%

    No Known Activations