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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. 17463
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    Explanations

    references to maps, locations, and geographical features

    oai_token-act-pair · gpt-3.5-turbo

    references to mapping and geographical information

    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
     Pupp
    -0.85
    EStreamFrame
    -0.80
     Freddy
    -0.77
     Whedon
    -0.74
    iannopoulos
    -0.73
    daq
    -0.73
     Weinstein
    -0.73
    antam
    -0.72
     Asuka
    -0.72
    nikov
    -0.71
    POSITIVE LOGITS
     Maps
    2.29
     maps
    2.28
     map
    2.14
    Maps
    2.13
     Map
    2.04
    maps
    1.90
     mapping
    1.89
    Map
    1.89
     mapped
    1.65
     compass
    1.62
    Activations Density 0.441%

    No Known Activations