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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. 11778
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    Explanations

    mentions of pairs of items or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to pairs of items or concepts

    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
    ulhu
    -0.87
    UGE
    -0.71
    ADRA
    -0.71
    Interstitial
    -0.71
     Causes
    -0.69
    inez
    -0.69
    INA
    -0.69
    emetery
    -0.68
     Occupations
    -0.65
    ICLE
    -0.62
    POSITIVE LOGITS
    pair
    0.97
    ings
    0.96
    wise
    0.92
    rings
    0.90
    ably
    0.89
    horn
    0.81
     mates
    0.81
    lihood
    0.80
     pair
    0.78
     paired
    0.77
    Activations Density 0.023%

    No Known Activations