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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. 6-RES-JB
    11. 17066
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    Explanations

    keywords related to database queries and optimization

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "query" in relation to performance and optimization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lasses
    -0.82
    stadt
    -0.77
    quarters
    -0.71
     juven
    -0.70
    ensing
    -0.70
    trump
    -0.70
    rones
    -0.70
    arag
    -0.69
    ocaust
    -0.66
    umen
    -0.66
    POSITIVE LOGITS
     query
    0.91
     queries
    0.84
    query
    0.82
    naire
    0.81
    ally
    0.77
    naires
    0.77
    Query
    0.77
    Select
    0.76
    ions
    0.75
    ioned
    0.73
    Activations Density 0.018%

    No Known Activations