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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. 11-RES-JB
    6. 11001
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     comrade
    -0.70
    èĢħ
    -0.66
    Jr
    -0.61
    itton
    -0.61
     curator
    -0.61
    senal
    -0.59
     arte
    -0.59
     Proud
    -0.58
     Johannes
    -0.58
     Ki
    -0.57
    POSITIVE LOGITS
    illance
    0.71
    NF
    0.66
    degree
    0.65
    achusetts
    0.65
    rared
    0.65
    zona
    0.63
    intent
    0.61
    rophe
    0.59
    esame
    0.59
    ivia
    0.58
    Activations Density 0.000%

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