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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16087
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.54
    eco
    -0.44
    ahime
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    ality
    -0.43
    ãĤ¨ãĥ«
    -0.42
    ãĥ³
    -0.41
    ãĤ³
    -0.40
    ãĥķãĤ¡
    -0.40
    ãĤ±
    -0.40
     sanctuary
    -0.40
    POSITIVE LOGITS
    %%%%
    0.53
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.49
     Picture
    0.48
     [/
    0.47
     Wage
    0.45
    kefeller
    0.45
    =~=~
    0.45
    -+
    0.44
    param
    0.44
    ̶
    0.43
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.