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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. 0-RES-JB
    11. 12964
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ̶
    -0.90
    kus
    -0.76
    ilater
    -0.76
    soDeliveryDate
    -0.76
    ueller
    -0.75
     OG
    -0.72
    amide
    -0.71
    utonium
    -0.69
    OPA
    -0.68
    inventoryQuantity
    -0.68
    POSITIVE LOGITS
    ology
    0.65
    eworld
    0.64
    license
    0.61
    ĪĴ
    0.60
     bob
    0.58
    Feature
    0.57
    Cam
    0.57
    owned
    0.57
    lets
    0.56
    bery
    0.55
    Activations Density 0.000%

    No Known Activations

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