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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. 9-RES-JB
    11. 19747
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    INDEX
    Explanations

    place names and locations

    oai_token-act-pair · gpt-3.5-turbo

    names of locations and geographical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sheet
    -0.81
     Dresden
    -0.81
     Frankfurt
    -0.78
    isters
    -0.76
    ulence
    -0.74
     Spiegel
    -0.73
     âĤ¬
    -0.72
    ngth
    -0.71
    idious
    -0.68
    ISTER
    -0.68
    POSITIVE LOGITS
     County
    1.53
     Valley
    1.25
     Springs
    1.15
     Falls
    1.13
     River
    1.10
     Tribe
    1.07
     COUNTY
    1.00
     counties
    0.99
     Basin
    0.98
     county
    0.98
    Activations Density 0.205%

    No Known Activations