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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. 2-RES-JB
    11. 21008
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Tar
    -0.71
     AFB
    -0.69
     Radar
    -0.68
    ICA
    -0.66
     Tape
    -0.65
     CES
    -0.65
     Operator
    -0.64
     DSL
    -0.64
     Tun
    -0.64
     Trib
    -0.64
    POSITIVE LOGITS
    fried
    0.88
    ibur
    0.81
    eco
    0.81
    Ont
    0.79
    estate
    0.75
    wake
    0.74
    enf
    0.74
    Austral
    0.74
    ecycle
    0.73
     Ambro
    0.72
    Activations Density 0.000%

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