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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. 7-RES-JB
    11. 7816
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    Explanations

    terms related to theft, particularly looting and treasures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to looting and treasure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Amateur
    -0.64
    slow
    -0.63
     MIL
    -0.62
     Piet
    -0.62
     Nur
    -0.61
     Offic
    -0.61
     Diaz
    -0.61
     Edison
    -0.59
     Kislyak
    -0.58
    CE
    -0.58
    POSITIVE LOGITS
     trove
    1.19
     crates
    0.90
     looted
    0.88
     piles
    0.87
    ibrary
    0.87
     hoard
    0.86
     Crate
    0.85
     carts
    0.84
     chests
    0.83
     boxes
    0.83
    Activations Density 0.032%

    No Known Activations