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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. 19706
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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
    atra
    -0.77
    utterstock
    -0.64
     "$:/
    -0.62
    irl
    -0.59
     eats
    -0.59
     Dun
    -0.58
    jar
    -0.57
    yd
    -0.57
     qualifies
    -0.57
    pt
    -0.57
    POSITIVE LOGITS
    mble
    0.85
     lett
    0.68
     pse
    0.66
    lli
    0.64
    meric
    0.64
    ĸļ
    0.64
    Honest
    0.62
    uum
    0.62
    Aren
    0.62
     investigator
    0.61
    Activations Density 0.000%

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