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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. 2-RES-JB
    11. 15413
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     batches
    -0.74
     unfocusedRange
    -0.66
    thodox
    -0.65
    DAQ
    -0.63
     tabletop
    -0.62
     midterm
    -0.59
     annex
    -0.59
    ighters
    -0.58
     successful
    -0.58
    strom
    -0.58
    POSITIVE LOGITS
    rer
    0.70
    PLIC
    0.69
    TRY
    0.68
    atically
    0.67
    lvl
    0.65
     Lopez
    0.65
    kaya
    0.64
    VW
    0.64
    alloc
    0.64
     Cue
    0.63
    Activations Density 0.000%

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