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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. 8362
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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
    opathic
    -0.71
    ueless
    -0.70
    umatic
    -0.70
    acas
    -0.69
    cakes
    -0.68
    idae
    -0.67
    orescence
    -0.65
    rones
    -0.64
    thritis
    -0.64
    ilities
    -0.64
    POSITIVE LOGITS
     quoting
    0.67
    romeda
    0.65
     stresses
    0.63
     reviewer
    0.62
     leng
    0.62
     Sek
    0.61
    ixon
    0.60
     Chrys
    0.60
     volumes
    0.58
     scanning
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.