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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. 4-RES-JB
    11. 20114
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enta
    -0.86
    arent
    -0.81
    istor
    -0.79
    bos
    -0.76
    kie
    -0.75
    onite
    -0.75
    miss
    -0.74
    utterstock
    -0.74
    imity
    -0.74
    anova
    -0.71
    POSITIVE LOGITS
     ITS
    0.67
     ALP
    0.66
    NES
    0.65
     hoops
    0.63
     rall
    0.62
     penn
    0.61
     sequels
    0.61
    Gs
    0.59
     intox
    0.58
     constit
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.