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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. 16759
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.83
     ax
    -0.78
     abrupt
    -0.73
     newsp
    -0.68
     reversible
    -0.67
     Delete
    -0.63
     Caps
    -0.62
     therap
    -0.61
     skelet
    -0.60
     Antiqu
    -0.59
    POSITIVE LOGITS
     Ham
    0.75
    adiq
    0.74
    obar
    0.71
    waters
    0.71
    amination
    0.70
    CHO
    0.70
    quet
    0.70
    ignty
    0.70
    ths
    0.70
    qu
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.