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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. 21940
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    Explanations

    references to local places and events

    oai_token-act-pair · gpt-3.5-turbo

    references to local events and venues

    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
    oÄŁ
    -0.79
    iframe
    -0.77
    Images
    -0.76
    Tags
    -0.75
    uid
    -0.74
    CLASSIFIED
    -0.73
    ules
    -0.72
    verbs
    -0.71
    imen
    -0.71
    flows
    -0.70
    POSITIVE LOGITS
     diner
    1.36
     café
    1.27
     restaurant
    1.26
     motel
    1.26
     cafe
    1.24
     bookstore
    1.23
     nightclub
    1.17
     supermarket
    1.14
     hotel
    1.13
     pub
    1.10
    Activations Density 0.195%

    No Known Activations