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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. 3-RES-JB
    11. 20141
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    INDEX
    Explanations

    phrases related to accusations or negative events involving individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation or conjunctions that connect phrases or clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gray
    -0.72
    Kansas
    -0.69
     odor
    -0.67
     nonex
    -0.67
    ¬¼
    -0.66
    :(
    -0.65
    ULAR
    -0.65
    Override
    -0.65
     favorite
    -0.64
    !--
    -0.64
    POSITIVE LOGITS
     whilst
    1.23
     namely
    1.14
     irrespective
    1.05
     albeit
    1.03
     Whilst
    1.01
     fuelled
    1.00
     ie
    0.99
     recognise
    0.99
     recogn
    0.97
     organisers
    0.97
    Activations Density 0.804%

    No Known Activations