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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. 22651
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    Explanations

    references to lost or missing items, people, or places

    oai_token-act-pair · gpt-3.5-turbo

    references to loss and missing entities, particularly related to people and significant items

    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
    Not in Any Lists

    No Comments

    Negative Logits
    verning
    -0.79
    soDeliveryDate
    -0.74
    eu
    -0.71
    NOR
    -0.70
    itect
    -0.69
    natureconservancy
    -0.69
    âķIJâķIJ
    -0.68
    Effective
    -0.68
    agall
    -0.67
    SPONSORED
    -0.65
    POSITIVE LOGITS
     syndrome
    1.05
     Syndrome
    0.95
     carc
    0.68
     corpse
    0.64
     corpses
    0.62
     await
    0.61
     flyers
    0.61
     mummy
    0.60
     clinging
    0.60
     wreckage
    0.60
    Activations Density 0.368%

    No Known Activations