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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. 9-RES-JB
    11. 5981
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    Explanations

    mentions of a specific region called "Rakhine"

    oai_token-act-pair · gpt-3.5-turbo

    references to the region of Rakhine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Collider
    -0.93
     Pelicans
    -0.69
    swick
    -0.64
    coat
    -0.61
     Polo
    -0.61
    acted
    -0.60
     Blazers
    -0.58
     Protocol
    -0.57
     Roof
    -0.56
    IBLE
    -0.56
    POSITIVE LOGITS
    urst
    1.24
    stan
    1.05
    unin
    0.93
    ritis
    0.90
    azard
    0.88
    orne
    0.88
    irsch
    0.87
    alid
    0.86
    ovsky
    0.86
    doms
    0.85
    Activations Density 0.060%

    No Known Activations