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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. 15083
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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
     ske
    -0.83
    ¿½
    -0.76
    ãĤ¦ãĤ¹
    -0.74
    Ĥª
    -0.74
     Curve
    -0.72
     grading
    -0.68
     Celsius
    -0.67
    cale
    -0.67
     gradient
    -0.67
     biases
    -0.66
    POSITIVE LOGITS
    emp
    0.95
    fred
    0.78
    nar
    0.74
    INS
    0.74
    inson
    0.72
    anos
    0.70
    ern
    0.70
    uay
    0.69
    azon
    0.68
    ctors
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.