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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. 711
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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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    Negative Logits
    \":
    -0.72
     Learns
    -0.71
     Proceed
    -0.69
     Vehicles
    -0.68
    yss
    -0.67
     Gau
    -0.67
    JECT
    -0.67
    UTE
    -0.65
    ä¸ī
    -0.64
    BAT
    -0.64
    POSITIVE LOGITS
    oen
    0.90
    ife
    0.79
    istors
    0.78
    former
    0.75
    abi
    0.74
    ancial
    0.74
    obi
    0.72
    stakes
    0.71
    ogan
    0.71
    IFE
    0.70
    Activations Density 0.000%

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