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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. 1-RES-JB
    11. 2089
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    dit
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    olars
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    tsy
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    vous
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    estern
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    ju
    -0.66
    akra
    -0.66
    zzi
    -0.64
    azar
    -0.64
    Alright
    -0.63
    POSITIVE LOGITS
    loo
    0.75
     Riders
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     Rogers
    0.63
     Browne
    0.62
     Sigma
    0.61
    ĨĴ
    0.60
     Prest
    0.60
    OTT
    0.60
     Blackburn
    0.59
     MET
    0.59
    Activations Density 0.000%

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