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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. 4-RES-JB
    11. 15750
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Markets
    -0.76
    ãĤ¤ãĥĪ
    -0.72
     Difficulty
    -0.68
     Rescue
    -0.68
    XL
    -0.66
    âĻ¥
    -0.65
    DN
    -0.65
    mine
    -0.65
    å¥
    -0.64
     Arrows
    -0.64
    POSITIVE LOGITS
    atto
    0.76
    rolog
    0.74
    inguished
    0.71
    urnal
    0.69
    hene
    0.68
    vati
    0.67
    oidal
    0.67
    ylene
    0.66
    cients
    0.64
    etheus
    0.64
    Activations Density 0.000%

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