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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. 2-RES-JB
    11. 9453
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    abouts
    -0.90
    dies
    -0.70
    gans
    -0.69
    leness
    -0.69
    loe
    -0.69
    paces
    -0.67
    glers
    -0.66
    cellent
    -0.65
     <@
    -0.64
    ophone
    -0.64
    POSITIVE LOGITS
     diplomacy
    0.65
    potion
    0.61
     epidem
    0.59
    xi
    0.59
    CT
    0.59
     loc
    0.59
    olulu
    0.58
    reci
    0.58
    ida
    0.58
    vernight
    0.58
    Activations Density 0.000%

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