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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. 13999
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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
    cycl
    -0.81
    stood
    -0.75
     Colomb
    -0.75
    gettable
    -0.73
    [/
    -0.71
    lic
    -0.69
    staking
    -0.69
     ours
    -0.64
     rul
    -0.63
    lam
    -0.63
    POSITIVE LOGITS
    ="#
    0.71
     ey
    0.67
    swick
    0.63
     unspecified
    0.63
     IEEE
    0.62
     tweets
    0.62
    STE
    0.61
     Inqu
    0.60
     Restaur
    0.60
     Enhanced
    0.59
    Activations Density 0.000%

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