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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. 4-RES-JB
    11. 3993
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Spa
    -0.64
     Spiegel
    -0.63
    bird
    -0.63
     Pengu
    -0.62
     Analog
    -0.61
     analog
    -0.60
    vre
    -0.60
     Dart
    -0.60
     Crane
    -0.60
     adop
    -0.60
    POSITIVE LOGITS
    agg
    0.73
    DEN
    0.68
    rs
    0.66
    issan
    0.65
    ANS
    0.65
    blocking
    0.65
    idav
    0.65
    RED
    0.65
    ient
    0.63
    aban
    0.62
    Activations Density 0.000%

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