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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. 7268
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    Explanations

    words related to negative actions or events, including scandals and violence

    oai_token-act-pair · gpt-3.5-turbo

    negative terms or references

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.73
    ulhu
    -0.71
     Norris
    -0.61
     Rica
    -0.58
     AVG
    -0.55
     Gunn
    -0.55
     Arabian
    -0.55
     Burr
    -0.54
     Richards
    -0.53
    kson
    -0.51
    POSITIVE LOGITS
    sized
    1.01
    based
    1.01
    level
    0.91
    themed
    0.88
    to
    0.86
    advertising
    0.86
    style
    0.86
    friendly
    0.83
    centric
    0.82
    oriented
    0.82
    Activations Density 0.359%

    No Known Activations