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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. 9-RES-JB
    11. 8949
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    Explanations

    references to different sports and recreational activities

    oai_token-act-pair · gpt-3.5-turbo

    references to recreational activities and substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.77
     pestic
    -0.74
     sugg
    -0.71
    ocus
    -0.62
    ãĥķãĤ©
    -0.62
    ofi
    -0.60
     eventual
    -0.60
    Lost
    -0.59
    cture
    -0.59
    ongevity
    -0.58
    POSITIVE LOGITS
     indoors
    1.10
     illegally
    1.08
     responsibly
    1.05
     outdoors
    1.05
     abroad
    1.02
     professionally
    1.02
     anonymously
    0.94
     lawfully
    0.89
     peacefully
    0.89
     cheaply
    0.88
    Activations Density 0.323%

    No Known Activations