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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. 22937
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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
    ettings
    -0.78
    hex
    -0.78
    andan
    -0.77
    hig
    -0.74
    essors
    -0.74
    esse
    -0.71
    redits
    -0.70
    vez
    -0.70
    ets
    -0.70
    ItemTracker
    -0.69
    POSITIVE LOGITS
     pse
    0.72
    senal
    0.69
     whirlwind
    0.64
     pregn
    0.63
     hurry
    0.62
     flask
    0.62
     Pale
    0.59
     Shining
    0.59
    gl
    0.58
    stick
    0.58
    Activations Density 0.000%

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