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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. 3-RES-JB
    6. 733
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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
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    Negative Logits
    ailability
    -0.84
    mir
    -0.80
    interstitial
    -0.79
    hur
    -0.65
    ometown
    -0.62
    Correction
    -0.61
    agara
    -0.61
    agher
    -0.60
    ingham
    -0.59
    romeda
    -0.58
    POSITIVE LOGITS
    Zone
    0.72
     Lobby
    0.71
    Soc
    0.62
    Boss
    0.61
    Commerce
    0.61
     lobb
    0.60
     zones
    0.59
    Bloom
    0.59
    Handle
    0.59
     evenings
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.