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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. 9438
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    oai_token-act-pair · gpt-3.5-turbo

    specific names, terms, and references associated with various subjects or entities

    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
     comr
    -0.64
     shorth
    -0.62
     skelet
    -0.62
    values
    -0.61
    alogue
    -0.60
    aditional
    -0.60
     corrid
    -0.59
     fodder
    -0.59
     Roose
    -0.58
    ocratic
    -0.58
    POSITIVE LOGITS
    âĢİ
    0.86
    Äĩ
    0.78
    naire
    0.77
     Ltd
    0.75
    ensis
    0.71
     aka
    0.66
     Sr
    0.66
     Invalid
    0.66
     Flavoring
    0.65
    icz
    0.65
    Activations Density 0.492%

    No Known Activations