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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. 16979
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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
    Negative Logits
    BILITIES
    -0.73
    racuse
    -0.70
     Stealth
    -0.66
    ifier
    -0.66
    fold
    -0.64
    eting
    -0.64
    neau
    -0.62
    auna
    -0.62
    Enlarge
    -0.62
    ground
    -0.60
    POSITIVE LOGITS
     destro
    0.73
     Writ
    0.70
     charact
    0.70
     proble
    0.70
     describ
    0.69
     undermin
    0.67
    STER
    0.67
     arrang
    0.66
     notor
    0.65
     incompet
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.