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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. 663
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    INDEX
    Explanations
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    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
    å°Ĩ
    -0.78
    coni
    -0.78
    cit
    -0.76
    cture
    -0.75
    ritz
    -0.75
    cher
    -0.74
    acco
    -0.73
    ricks
    -0.71
    erella
    -0.71
    ouston
    -0.70
    POSITIVE LOGITS
     Lust
    0.70
    uala
    0.69
     bounds
    0.66
     Milo
    0.65
     Amon
    0.65
     Myster
    0.63
     Ens
    0.62
     slurs
    0.62
     Aether
    0.62
     Kore
    0.61
    Activations Density 0.000%

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