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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. 1-RES-JB
    11. 12905
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    apesh
    -0.90
    nant
    -0.77
    orn
    -0.76
    arma
    -0.74
    onym
    -0.73
    rams
    -0.72
    pay
    -0.71
    errilla
    -0.70
    yang
    -0.70
    apo
    -0.70
    POSITIVE LOGITS
     exacerbate
    0.66
     Cogn
    0.65
     exacerbated
    0.63
    staking
    0.61
    ":["
    0.60
    Gallery
    0.59
    PsyNetMessage
    0.59
     ASA
    0.59
     Frie
    0.59
     Monitoring
    0.58
    Activations Density 0.000%

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