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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. 9667
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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
    Reply
    -0.75
    ighting
    -0.69
    ked
    -0.68
     crane
    -0.67
    ople
    -0.66
    ophy
    -0.66
    andel
    -0.64
    Merit
    -0.62
     Straw
    -0.60
     wiring
    -0.60
    POSITIVE LOGITS
    uden
    0.84
    ummies
    0.78
    Ô
    0.77
    CLASSIFIED
    0.72
    ãĤ´ãĥ³
    0.71
    waters
    0.67
    essage
    0.66
    agher
    0.66
    Interstitial
    0.66
    soType
    0.66
    Activations Density 0.000%

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