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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. 3-RES-JB
    11. 22838
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     recharge
    -0.87
    atography
    -0.69
     hone
    -0.68
     stim
    -0.67
     abst
    -0.67
     sidx
    -0.65
     ener
    -0.64
     VIS
    -0.63
     batteries
    -0.62
     lev
    -0.62
    POSITIVE LOGITS
    raq
    1.04
    edom
    0.84
    oken
    0.74
    QUIRE
    0.74
    ards
    0.72
    orld
    0.71
    hem
    0.71
    afety
    0.70
    Crash
    0.70
    uther
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.