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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. 2-RES-JB
    11. 5601
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    Explanations

    references to different groups or factions within a community

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of camps, particularly highlighting the contrast between different social, refugee, and historical camps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nce
    -0.72
    rious
    -0.70
    theless
    -0.68
    thy
    -0.62
    WN
    -0.62
    Journal
    -0.61
     Universe
    -0.59
     gentleman
    -0.57
    Republic
    -0.56
    then
    -0.56
    POSITIVE LOGITS
    ites
    1.13
    ite
    1.07
    camp
    1.03
    ovie
    1.02
     camps
    0.98
    itory
    0.93
    chool
    0.92
    andowski
    0.87
    fires
    0.86
     camp
    0.85
    Activations Density 0.011%

    No Known Activations