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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. 0-RES-JB
    11. 1399
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ittee
    -0.70
    pel
    -0.66
    erity
    -0.66
    egal
    -0.64
     Sponsor
    -0.62
    grave
    -0.60
    oters
    -0.60
     Recover
    -0.58
     ascertain
    -0.57
     Recommend
    -0.57
    POSITIVE LOGITS
    é¾įåĸļ士
    0.65
    rored
    0.63
     ABE
    0.62
    Initialized
    0.61
     mats
    0.60
    outed
    0.60
    obbies
    0.59
    ento
    0.59
    abouts
    0.59
    jah
    0.58
    Activations Density 0.000%

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