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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. 4-RES-JB
    11. 13661
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    Explanations

    references to specific names, especially "Willow" and "Giles," likely related to Willow Smith and a character named Willow in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and characters associated with a media franchise or production

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

    No Comments

    Negative Logits
    rals
    -0.85
    rontal
    -0.83
    orously
    -0.83
    ntil
    -0.80
    ŀ
    -0.78
    ocre
    -0.78
    £ı
    -0.76
    alty
    -0.75
    orically
    -0.75
    İĭ
    -0.75
    POSITIVE LOGITS
     Summers
    1.00
     Willow
    0.93
     Buffy
    0.89
    brook
    0.86
     Giles
    0.86
    vale
    0.81
     Angel
    0.81
     Rosenberg
    0.80
    dale
    0.79
     Gand
    0.74
    Activations Density 0.017%

    No Known Activations