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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. 4469
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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
    ãĤ¦ãĤ¹
    -0.76
    ãĤ¼ãĤ¦ãĤ¹
    -0.72
    quickShipAvailable
    -0.72
    \\\\\\\\
    -0.72
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.70
    Perfect
    -0.70
    GROUND
    -0.70
    oÄŁ
    -0.69
    facts
    -0.68
    perfect
    -0.68
    POSITIVE LOGITS
     pursue
    1.31
     renew
    1.24
     bother
    1.15
     participate
    1.14
     proceed
    1.04
     publish
    1.03
     prosecute
    1.00
     attend
    0.97
     approve
    0.97
     cooperate
    0.97
    Activations Density 0.180%

    No Known Activations