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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. 15916
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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
    izens
    -0.80
    lay
    -0.77
    well
    -0.76
    ometimes
    -0.74
    naire
    -0.72
    rail
    -0.71
    CHAPTER
    -0.70
    estine
    -0.67
    Brow
    -0.66
    flag
    -0.65
    POSITIVE LOGITS
     nesting
    0.64
    urious
    0.64
    itement
    0.61
     surf
    0.59
     Euros
    0.58
     washing
    0.58
     alarm
    0.58
     estimates
    0.57
     pist
    0.57
     pipelines
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.