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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. 3-RES-JB
    11. 8780
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é¾įå
    -0.73
     planner
    -0.70
    Ware
    -0.70
    çĶ
    -0.65
    velt
    -0.65
    verage
    -0.64
    ensity
    -0.61
    Ĥİ
    -0.60
    oppable
    -0.60
     Dominican
    -0.60
    POSITIVE LOGITS
    mos
    0.80
    atre
    0.70
    eral
    0.66
     Thurs
    0.63
    abin
    0.63
    mares
    0.63
    ueller
    0.62
    soDeliveryDate
    0.62
    rets
    0.62
    hedon
    0.61
    Activations Density 0.000%

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