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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. 4-RES-JB
    11. 10056
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    keywords related to computer systems, technology, and data security

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    æĢ
    -0.88
    liest
    -0.83
    bow
    -0.77
    ish
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    ãĥĥ
    -0.71
    Fil
    -0.71
    ishable
    -0.71
    ISH
    -0.71
    iversary
    -0.71
    ished
    -0.71
    POSITIVE LOGITS
    etting
    1.13
    ensical
    1.03
     systems
    1.02
     architectures
    0.99
    pace
    0.98
     integ
    0.96
    afety
    0.93
    mith
    0.84
    peak
    0.83
    etter
    0.83
    Activations Density 0.021%

    No Known Activations