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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. 6079
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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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    No Comments

    Negative Logits
    atche
    -0.70
     HOT
    -0.70
     Crew
    -0.68
     Dug
    -0.67
     basket
    -0.65
     Pike
    -0.63
     Stanley
    -0.63
     chuck
    -0.63
    hot
    -0.63
     Eag
    -0.62
    POSITIVE LOGITS
    unct
    0.76
    osate
    0.76
    Wik
    0.74
    rodu
    0.73
    ernels
    0.73
    password
    0.70
    forestation
    0.70
    rely
    0.70
    vernment
    0.69
     theoret
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.