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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. 11177
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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
     Norn
    -0.81
     Trident
    -0.72
    imation
    -0.72
     Traditional
    -0.70
     kan
    -0.68
    ongyang
    -0.67
    orno
    -0.66
    odes
    -0.66
     TAMADRA
    -0.66
    onut
    -0.65
    POSITIVE LOGITS
    phy
    0.72
    phys
    0.66
     parach
    0.63
     Geh
    0.62
    Jr
    0.60
     muscle
    0.60
    FI
    0.59
    tips
    0.59
    è¦ļéĨĴ
    0.58
    rooms
    0.57
    Activations Density 0.000%

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