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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. 17361
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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
    hedral
    -0.69
    ogo
    -0.66
    alyst
    -0.65
    azon
    -0.60
    erest
    -0.59
    ulse
    -0.58
     appalled
    -0.57
    interested
    -0.57
    esthetic
    -0.57
     tastes
    -0.57
    POSITIVE LOGITS
    tainment
    0.73
    ãĤº
    0.72
    milo
    0.71
     Seym
    0.65
    neau
    0.64
    mere
    0.63
     Grac
    0.63
    tain
    0.62
     Firm
    0.62
     Ange
    0.62
    Activations Density 0.000%

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