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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. 7-RES-JB
    11. 2670
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dreaded
    -0.50
     Flavoring
    -0.48
     entropy
    -0.47
    bley
    -0.45
     slowdown
    -0.44
     proportion
    -0.44
     hurt
    -0.43
     injure
    -0.43
     hurting
    -0.43
     unpredict
    -0.42
    POSITIVE LOGITS
    ospons
    0.67
    published
    0.67
    eatured
    0.63
    named
    0.60
    itled
    0.59
    iHUD
    0.53
    ================================================================
    0.52
     Cosponsors
    0.51
    osponsors
    0.51
    pictured
    0.50
    Activations Density 1.822%

    No Known Activations