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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. 11-RES-JB
    11. 9965
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    Explanations

    names of companies and specific events or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands, notably "Nestlé," and references to the holiday "Easter."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istic
    -0.83
    istically
    -0.77
    istics
    -0.61
    ist
    -0.60
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.60
    ights
    -0.58
    554
    -0.57
     nom
    -0.57
    mith
    -0.56
    xxxxxxxx
    -0.56
    POSITIVE LOGITS
    lé
    1.43
    dale
    1.10
    led
    0.98
    lings
    0.98
    lies
    0.94
     Bunny
    0.90
    lements
    0.89
    ding
    0.89
     Eggs
    0.88
    ea
    0.86
    Activations Density 0.091%

    No Known Activations