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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. 1-RES-JB
    11. 1003
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     purse
    -0.66
     rush
    -0.65
     bartender
    -0.63
    affer
    -0.61
    seller
    -0.61
     trustee
    -0.60
     teacher
    -0.59
     distributor
    -0.59
     accumulate
    -0.59
     balance
    -0.59
    POSITIVE LOGITS
    ãĤ¤ãĥĪ
    1.02
    Í
    0.98
    SPA
    0.92
    ãĥ¼ãĥĨãĤ£
    0.88
    ãĥ¼ãĥĨ
    0.86
    ãĥĥãĥī
    0.85
     horizont
    0.85
    inventoryQuantity
    0.83
    ãĥ¼ãĥ«
    0.82
    æ©Ł
    0.82
    Activations Density 0.000%

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