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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    keywords related to religious observations and practices, specifically Ramadan and Eid

    oai_token-act-pair · gpt-3.5-turbo

    terms related to Ramadan and Eid celebrations

    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
    ilage
    -0.80
    essee
    -0.75
    OGR
    -0.74
     UNIVERS
    -0.70
     Vanderbilt
    -0.68
    ship
    -0.68
     Cosponsors
    -0.66
     Nashville
    -0.66
     SEN
    -0.65
    ambers
    -0.64
    POSITIVE LOGITS
     Ramadan
    1.24
     Eid
    1.01
     fasting
    0.99
    abad
    0.90
     Mubarak
    0.81
    isoft
    0.78
    itual
    0.74
    olon
    0.74
    urnal
    0.73
    nesday
    0.72
    Activations Density 0.009%

    No Known Activations