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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. 1425
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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
     Sins
    -0.67
     Vale
    -0.65
    Va
    -0.62
    driving
    -0.61
     Noir
    -0.61
     Avenger
    -0.61
     valley
    -0.60
     MH
    -0.60
    grain
    -0.59
     Drawn
    -0.59
    POSITIVE LOGITS
    ²¾
    0.92
    £ı
    0.88
    aptic
    0.84
    ¶ħ
    0.81
     srfAttach
    0.79
    ategory
    0.74
    ĵĺ
    0.71
    ĨĴ
    0.67
    ucket
    0.67
     ledge
    0.67
    Activations Density 0.000%

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