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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. 2824
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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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    No Comments

    Negative Logits
    ogun
    -0.86
    icles
    -0.79
    Leaks
    -0.75
    beard
    -0.74
    obin
    -0.74
    esson
    -0.73
    vous
    -0.73
    oola
    -0.71
    GBT
    -0.71
    ozy
    -0.69
    POSITIVE LOGITS
     envelope
    0.74
     ballot
    0.67
     eg
    0.66
     prepaid
    0.65
     equation
    0.65
     NRS
    0.65
     suitcase
    0.64
     tract
    0.63
     schedule
    0.63
     mend
    0.62
    Activations Density 0.000%

    No Known Activations

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