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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. 2-RES-JB
    11. 7087
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ancies
    -0.81
    ername
    -0.77
    nen
    -0.75
     blat
    -0.65
    htaking
    -0.64
    tions
    -0.61
     describ
    -0.61
    retty
    -0.61
     unthinkable
    -0.58
    esp
    -0.58
    POSITIVE LOGITS
    soDeliveryDate
    0.71
     MAD
    0.65
     Wiley
    0.65
     Burnett
    0.65
    Ń·
    0.65
    issance
    0.64
    azine
    0.64
    wick
    0.63
     Watkins
    0.61
    framework
    0.60
    Activations Density 0.000%

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