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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. 23943
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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
    ãĥ¼ãĥ³
    -0.96
    20439
    -0.83
    ãĥĥãĥī
    -0.76
    isphere
    -0.71
    ranean
    -0.70
     sshd
    -0.70
     Lonely
    -0.69
    osterone
    -0.67
    armac
    -0.65
     reper
    -0.65
    POSITIVE LOGITS
    intend
    0.73
     Pwr
    0.67
    vp
    0.64
    DIV
    0.63
     Fargo
    0.62
     Sioux
    0.62
    AAAA
    0.61
    puting
    0.60
    Buff
    0.59
    oval
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.