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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. 1-RES-JB
    11. 346
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Eye
    -0.73
    Fat
    -0.68
    Joy
    -0.64
    Fra
    -0.62
     Pis
    -0.62
     Nim
    -0.60
    Pir
    -0.60
     Jam
    -0.60
    charges
    -0.59
    Sund
    -0.59
    POSITIVE LOGITS
    20439
    0.80
    paper
    0.73
    ixon
    0.68
    theless
    0.68
    orkshire
    0.66
    ansion
    0.64
     pub
    0.64
    vertisement
    0.63
    glass
    0.63
    ridges
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.