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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. 13298
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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
    jriwal
    -0.68
     CrossRef
    -0.64
     enactment
    -0.61
     backers
    -0.61
     bike
    -0.61
     participants
    -0.60
     Synd
    -0.60
    ogun
    -0.59
     subsid
    -0.59
     Democrats
    -0.59
    POSITIVE LOGITS
    ãĥ¼ãĥĨ
    0.81
    ILLE
    0.79
    spection
    0.76
    yssey
    0.74
    ¹
    0.74
    venth
    0.73
    andise
    0.72
    OSS
    0.72
    Camp
    0.72
    ¶æ
    0.70
    Activations Density 0.000%

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