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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. 6173
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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
    ļéĨĴ
    -0.76
    aneers
    -0.74
    iddler
    -0.73
    soever
    -0.71
    sbm
    -0.71
    alion
    -0.71
    auri
    -0.70
    ensable
    -0.70
    anta
    -0.68
    renheit
    -0.66
    POSITIVE LOGITS
    Cong
    0.69
    fol
    0.69
    worthiness
    0.68
    plus
    0.67
    ability
    0.66
    boost
    0.65
    æ°
    0.64
    rost
    0.64
    fy
    0.63
     congr
    0.61
    Activations Density 0.000%

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