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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. 12967
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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
    acebook
    -0.68
    luster
    -0.65
    roit
    -0.65
    LA
    -0.62
    Train
    -0.62
    bilt
    -0.61
    erson
    -0.61
    LINE
    -0.60
    INC
    -0.60
     Jian
    -0.60
    POSITIVE LOGITS
    ods
    0.77
    addons
    0.74
     Purpose
    0.67
    uminium
    0.66
    semble
    0.66
    omi
    0.63
    ]=
    0.63
    sembly
    0.62
    endars
    0.62
    pmwiki
    0.61
    Activations Density 0.000%

    No Known Activations

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