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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. 6594
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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
    redo
    -0.73
     EDITION
    -0.71
    tainment
    -0.68
     sovere
    -0.67
     redes
    -0.67
     excise
    -0.66
    naire
    -0.63
     Alc
    -0.62
     Redemption
    -0.60
    allery
    -0.60
    POSITIVE LOGITS
    phas
    0.93
    ASY
    0.74
    bians
    0.73
    plin
    0.71
    istries
    0.71
    Us
    0.70
    使
    0.66
    Ops
    0.65
    natureconservancy
    0.65
    objects
    0.65
    Activations Density 0.000%

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