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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. 0-RES-JB
    11. 8039
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    Explanations

    references to mythical creatures, specifically dragons

    oai_token-act-pair · gpt-3.5-turbo

    references to dragons in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lowe
    -0.81
     Nad
    -0.79
    neg
    -0.79
     Omaha
    -0.78
     Palestine
    -0.77
    etts
    -0.77
    Mit
    -0.75
    Columb
    -0.74
     Hayes
    -0.74
     Foley
    -0.74
    POSITIVE LOGITS
     dragon
    3.53
     dragons
    3.37
     Dragon
    2.45
    Dragon
    2.40
     Dragons
    2.33
    dragon
    2.31
     DRAGON
    2.06
     dracon
    1.85
     Fenrir
    1.37
     DRAG
    1.36
    Activations Density 0.027%

    No Known Activations