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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
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    Explanations

    mentions of religious institutions, specifically the Church

    oai_token-act-pair · gpt-3.5-turbo

    references to the Church

    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
    Not in Any Lists

    No Comments

    Negative Logits
    gered
    -0.69
    TRUMP
    -0.66
     Yak
    -0.66
    LER
    -0.65
    DonaldTrump
    -0.65
    xes
    -0.65
     Miy
    -0.64
    hirt
    -0.62
    aphael
    -0.62
    gets
    -0.62
    POSITIVE LOGITS
    esan
    1.00
    goers
    0.93
     Fathers
    0.86
     Church
    0.86
    yard
    0.80
    lore
    0.75
     Parish
    0.73
    lake
    0.73
    boys
    0.72
    Script
    0.72
    Activations Density 0.014%

    No Known Activations