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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. 2-RES-JB
    6. 486
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odox
    -0.80
    phasis
    -0.68
    è»
    -0.67
    alky
    -0.65
    ansson
    -0.64
    Weapons
    -0.64
     ==
    -0.63
     !=
    -0.63
    Grid
    -0.63
    bg
    -0.62
    POSITIVE LOGITS
    rite
    0.75
     teasing
    0.72
     catering
    0.64
    aukee
    0.62
     cowork
    0.62
     projection
    0.61
    oa
    0.60
     Reef
    0.60
    kees
    0.59
     Cutter
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.