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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. 2325
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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
     mosqu
    -0.70
    mission
    -0.69
     juven
    -0.68
    azine
    -0.68
    terday
    -0.68
    lishes
    -0.68
    actly
    -0.65
    aeus
    -0.63
    ortium
    -0.62
    conservancy
    -0.62
    POSITIVE LOGITS
    EngineDebug
    0.79
    ski
    0.79
    imei
    0.68
    )].
    0.64
    ivari
    0.64
     perv
    0.63
    ersive
    0.63
    ardo
    0.60
    mble
    0.60
     "{
    0.59
    Activations Density 0.000%

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