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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. 10-RES-JB
    11. 4452
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.79
    odic
    -0.71
     indo
    -0.70
    stood
    -0.69
    eele
    -0.68
     underestimated
    -0.68
     therap
    -0.63
    xual
    -0.62
    ragon
    -0.62
    roid
    -0.62
    POSITIVE LOGITS
     Caption
    1.59
    away
    1.00
     caption
    0.93
    aki
    0.85
    ously
    0.79
    ous
    0.73
    Streamer
    0.73
    Flow
    0.72
     Photo
    0.71
    avi
    0.71
    Activations Density 0.013%

    No Known Activations