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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. 10-RES-JB
    11. 4373
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wcs
    -0.82
     lows
    -0.76
    cffffcc
    -0.76
    vernment
    -0.71
     Rept
    -0.69
    thur
    -0.65
     hars
    -0.65
    olitics
    -0.65
    rosso
    -0.63
    ajor
    -0.62
    POSITIVE LOGITS
     wrapper
    1.11
     templates
    1.10
     template
    1.10
     builder
    1.08
     dependencies
    1.06
     skelet
    1.02
     configuration
    1.01
     namespace
    1.01
    builder
    1.00
    Template
    1.00
    Activations Density 0.176%

    No Known Activations