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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. 9210
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    Explanations

    references to memorial sites, ceremonies, and services

    oai_token-act-pair · gpt-3.5-turbo

    references to memorials and commemorative events

    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
    efficients
    -0.69
    EEK
    -0.66
    ucket
    -0.65
     Felix
    -0.61
     Lomb
    -0.61
    conom
    -0.59
    CE
    -0.59
    VPN
    -0.58
     Dangerous
    -0.57
    scill
    -0.57
    POSITIVE LOGITS
     memorial
    1.07
    brance
    1.06
    izes
    0.99
     honoring
    0.94
     remembrance
    0.92
     plaque
    0.89
    izing
    0.88
     commemor
    0.87
    itory
    0.86
    ãĤ©
    0.83
    Activations Density 0.022%

    No Known Activations