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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. 9-RES-JB
    11. 23211
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    Explanations

    references to specific books or authors

    oai_token-act-pair · gpt-3.5-turbo

    references to specific authors or literary works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oglu
    -0.72
    ortium
    -0.65
    auga
    -0.65
    mpeg
    -0.64
    wcs
    -0.64
    ãĥ¼ãĤ¯
    -0.63
    nown
    -0.63
    anos
    -0.62
     aggregation
    -0.60
    bitious
    -0.59
    POSITIVE LOGITS
    ansom
    0.88
     Tolkien
    0.76
    existent
    0.67
    utherford
    0.65
     Diesel
    0.65
    selected
    0.65
    acist
    0.64
    ciples
    0.63
     constitu
    0.63
    kefeller
    0.63
    Activations Density 0.051%

    No Known Activations