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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. 5-RES-JB
    6. 1494
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mort
    -0.83
    ¶ħ
    -0.82
    mble
    -0.74
    riger
    -0.71
    unts
    -0.70
    olls
    -0.70
     limbs
    -0.65
    anson
    -0.64
     nomine
    -0.64
     Lumpur
    -0.64
    POSITIVE LOGITS
    VIEW
    0.75
    owitz
    0.74
    owicz
    0.71
    =\"
    0.70
    Accessory
    0.69
    furt
    0.69
     Ellison
    0.66
     NX
    0.64
    WAR
    0.64
     Turing
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.