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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. 14235
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    INDEX
    Explanations

    proper nouns, especially names of persons

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and words indicating authorship or attribution

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    etheless
    -0.75
    terday
    -0.69
    OPLE
    -0.69
    WAYS
    -0.66
     downhill
    -0.65
     noses
    -0.63
    _.
    -0.63
    RESULTS
    -0.63
    BOOK
    -0.62
    INESS
    -0.61
    POSITIVE LOGITS
    alf
    0.93
    oran
    0.91
    omer
    0.87
    chin
    0.86
    itialized
    0.85
    grid
    0.83
    och
    0.83
    aman
    0.82
    lan
    0.81
    omal
    0.80
    Activations Density 0.144%

    No Known Activations