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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. 14843
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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
    utsche
    -0.89
    nih
    -0.81
    lehem
    -0.75
    otle
    -0.75
    dain
    -0.75
    ghazi
    -0.75
    odon
    -0.74
    */(
    -0.74
    tein
    -0.73
    zbollah
    -0.73
    POSITIVE LOGITS
     Minor
    0.69
     Tactics
    0.66
    arger
    0.63
     Spaces
    0.62
    quist
    0.61
     Ross
    0.61
     Compact
    0.61
    PAC
    0.60
     Goddess
    0.58
     Prim
    0.58
    Activations Density 0.000%

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