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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. 6316
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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
     Riding
    -0.77
     Balt
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    catentry
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     Fuji
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     bicy
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     Bundy
    -0.64
     Mothers
    -0.64
    terday
    -0.63
     Mongolia
    -0.61
     Schne
    -0.61
    POSITIVE LOGITS
    insert
    0.78
    asty
    0.74
    asters
    0.73
    uth
    0.67
    iating
    0.67
    asting
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    acs
    0.65
    ATURE
    0.63
    elson
    0.63
    uts
    0.61
    Activations Density 0.000%

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