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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. 2-RES-JB
    11. 13542
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    Explanations

    phrases related to governmental or parliamentary institutions, specifically mentioning "Bund" or "Bundes" which could refer to the German federal government

    oai_token-act-pair · gpt-3.5-turbo

    references to "Bund" and related terms, likely connected to governance or organizations in a German context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.78
     breath
    -0.75
    phia
    -0.74
    autical
    -0.66
    uador
    -0.66
     Breed
    -0.63
     breathing
    -0.63
    phy
    -0.61
    anto
    -0.61
    opy
    -0.61
    POSITIVE LOGITS
     Bund
    1.11
    nam
    0.96
     bund
    0.92
    emonium
    0.92
    endor
    0.83
    aroo
    0.81
    ling
    0.80
    ings
    0.79
    liga
    0.77
    lr
    0.77
    Activations Density 0.006%

    No Known Activations