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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. 24312
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    Explanations

    references to books

    oai_token-act-pair · gpt-3.5-turbo

    references to books

    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
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    No Comments

    Negative Logits
    00200000
    -0.77
     Yin
    -0.71
    assis
    -0.70
     Vital
    -0.69
     Security
    -0.68
     Normandy
    -0.64
    Args
    -0.64
    ALTH
    -0.62
     Territories
    -0.62
    Security
    -0.62
    POSITIVE LOGITS
    stores
    1.30
    poons
    1.17
    hel
    1.07
    paces
    1.02
    worms
    1.00
    marks
    1.00
    books
    0.99
    poon
    0.99
     books
    0.98
    uggest
    0.93
    Activations Density 0.030%

    No Known Activations