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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. 23983
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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
     mur
    -0.66
     guide
    -0.65
     rabbit
    -0.64
     Fra
    -0.62
     demon
    -0.61
     plague
    -0.60
    cia
    -0.59
     regul
    -0.59
     serpent
    -0.58
    ãĤ¦ãĤ¹
    -0.57
    POSITIVE LOGITS
    thood
    0.85
    metic
    0.80
    emouth
    0.74
    SET
    0.74
    being
    0.73
    nery
    0.72
     Notting
    0.70
    ciation
    0.69
    TING
    0.67
    selling
    0.66
    Activations Density 0.000%

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