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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. 504
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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
    etheless
    -0.82
     whiff
    -0.74
    pite
    -0.71
     sensing
    -0.70
    urdue
    -0.68
     Notting
    -0.64
     cogn
    -0.63
     JPM
    -0.63
    wart
    -0.63
     realizing
    -0.63
    POSITIVE LOGITS
    kat
    0.70
    eson
    0.70
    Afee
    0.69
    VERTISEMENT
    0.68
    ENG
    0.68
    ---------
    0.67
    çī
    0.67
    rones
    0.67
    ð
    0.67
    Gear
    0.67
    Activations Density 0.000%

    No Known Activations

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