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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. 4204
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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
    ãĤ¼ãĤ¦ãĤ¹
    -0.96
    çļ
    -0.83
    ttes
    -0.71
     EntityItem
    -0.71
     Pref
    -0.69
    çī
    -0.68
     Origin
    -0.68
    ãĥĩãĤ£
    -0.66
    å¥
    -0.65
    èĪ
    -0.65
    POSITIVE LOGITS
     mish
    0.72
    jriwal
    0.70
     accident
    0.69
     situational
    0.68
    hemer
    0.67
    oteric
    0.67
    ÅĤ
    0.66
    rider
    0.64
    alon
    0.63
     dared
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.