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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13297
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    Explanations

    references to religious institutions or buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to religious institutions, particularly churches

    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
    owder
    -0.69
    rawdownloadcloneembedreportprint
    -0.69
    Phys
    -0.61
     Protocol
    -0.60
    Rocket
    -0.59
    Boy
    -0.59
    Delivery
    -0.57
    ded
    -0.57
    Software
    -0.57
    Hur
    -0.56
    POSITIVE LOGITS
    chool
    1.29
    hips
    1.15
    mith
    1.12
    uggest
    1.12
    paces
    1.11
    ometimes
    1.06
    ystem
    1.06
    afety
    1.06
    igmatic
    1.03
    cale
    1.02
    Activations Density 0.158%

    No Known Activations