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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. 18231
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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
    PsyNetMessage
    -0.76
    staking
    -0.75
     thence
    -0.73
    arre
    -0.72
    iasm
    -0.71
    Pres
    -0.70
    olson
    -0.69
    eth
    -0.68
    endar
    -0.68
    20439
    -0.68
    POSITIVE LOGITS
     ABE
    0.69
     invaders
    0.65
     beats
    0.65
     beh
    0.62
     Martial
    0.61
    icus
    0.61
    lier
    0.61
    使
    0.59
     ninja
    0.59
     avoided
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.