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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
    11. 3376
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    Explanations

    names of geographical locations, particularly focusing on India

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions or references to India

    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
    inventoryQuantity
    -0.92
    ilts
    -0.83
    umbnails
    -0.80
    htaking
    -0.78
    inelli
    -0.78
    oppable
    -0.78
    cies
    -0.77
    ynt
    -0.77
    yright
    -0.77
    rd
    -0.75
    POSITIVE LOGITS
     Pradesh
    0.92
     Sharma
    0.91
     India
    0.88
     Rao
    0.84
    India
    0.84
     Hindus
    0.83
     Cricket
    0.82
     Pakistan
    0.80
     Pv
    0.78
     ru
    0.77
    Activations Density 0.021%

    No Known Activations