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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. 13043
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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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    No Comments

    Negative Logits
     Wonders
    -0.72
    agues
    -0.70
     Robots
    -0.68
    ICS
    -0.64
     Tracks
    -0.63
     Orient
    -0.62
    mos
    -0.62
     Robot
    -0.62
     Cultural
    -0.61
     Shows
    -0.61
    POSITIVE LOGITS
    gettable
    0.83
    usable
    0.71
     spoil
    0.70
     abst
    0.69
     dstg
    0.67
     constituents
    0.66
    kj
    0.65
    0001
    0.63
    vp
    0.60
    taker
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.