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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. 15857
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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
    ives
    -0.89
    rams
    -0.78
    ions
    -0.75
    IVES
    -0.73
    aves
    -0.69
    ģ«
    -0.69
     ramps
    -0.68
    ouls
    -0.67
    norm
    -0.64
    ucks
    -0.63
    POSITIVE LOGITS
    athan
    0.67
     Zhou
    0.66
    ITNESS
    0.63
     explan
    0.62
     contribution
    0.60
    usercontent
    0.59
     initiate
    0.59
     UCH
    0.58
     cle
    0.58
    lication
    0.57
    Activations Density 0.000%

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