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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 23792
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggle
    -0.84
     occupations
    -0.83
    asures
    -0.80
    ngth
    -0.76
    awaru
    -0.74
    ERAL
    -0.74
     Flavoring
    -0.74
     dementia
    -0.72
    iltr
    -0.71
     Removal
    -0.70
    POSITIVE LOGITS
    side
    0.67
    eport
    0.65
    atto
    0.65
     Ans
    0.64
     side
    0.64
     Dynam
    0.63
     Hass
    0.63
     sides
    0.62
    ribute
    0.61
     Hendricks
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.