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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. 3-RES-JB
    11. 13572
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    Explanations

    proper nouns related to locations, especially "Frankfurt"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and places, particularly related to Frankfurt and notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aping
    -0.84
    aped
    -0.81
    orses
    -0.75
    ouring
    -0.75
    apsed
    -0.74
    oured
    -0.72
    asta
    -0.72
    oup
    -0.71
    otion
    -0.71
    ````
    -0.70
    POSITIVE LOGITS
     Mü
    1.16
    ÃŁ
    0.97
     Schwarz
    0.95
    furt
    0.95
     Munich
    0.95
     von
    0.93
     Friedrich
    0.90
     Dortmund
    0.85
     Bundesliga
    0.83
    heit
    0.83
    Activations Density 0.018%

    No Known Activations