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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. 2916
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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
     subdivision
    -0.74
    =]
    -0.73
     nep
    -0.72
     antioxid
    -0.68
     trig
    -0.66
     prediction
    -0.64
     streng
    -0.64
     Arist
    -0.64
     agre
    -0.64
     eleph
    -0.64
    POSITIVE LOGITS
    kson
    0.85
    mary
    0.82
    ctors
    0.76
    Äĩ
    0.74
    xx
    0.73
    psy
    0.70
    inders
    0.70
    ctor
    0.68
     Serial
    0.68
    ller
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.