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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. 19336
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    INDEX
    Explanations

    descriptions of locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations and geographical contexts

    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
     positives
    -0.67
    ãĥĺãĥ©
    -0.60
    oeuv
    -0.57
    retty
    -0.56
     awa
    -0.56
     surprises
    -0.56
    inctions
    -0.56
    aurus
    -0.55
     equivalents
    -0.55
    abis
    -0.55
    POSITIVE LOGITS
     town
    0.61
     parish
    0.58
     UC
    0.57
     Salv
    0.57
     Ard
    0.56
     campus
    0.56
     Trib
    0.55
     Bristol
    0.55
    FactoryReloaded
    0.55
     Liberation
    0.54
    Activations Density 0.975%

    No Known Activations