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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. 15726
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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
    ulton
    -0.93
     Drill
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     IMAGES
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    urally
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    ourt
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    rone
    -0.69
     Citadel
    -0.68
    estones
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    rier
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    QB
    -0.65
    POSITIVE LOGITS
    ĪĴ
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    ternal
    0.68
     misunder
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     typh
    0.66
    Contribut
    0.65
     impaired
    0.62
    cerning
    0.61
    pires
    0.61
     inhib
    0.61
     hind
    0.60
    Activations Density 0.000%

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