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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. 8-RES-JB
    11. 774
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    Explanations

    references to specific locations or entities that need to be equipped or installed

    oai_token-act-pair · gpt-3.5-turbo

    words and terms related to geographic locations and organizational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rang
    -0.64
    PO
    -0.64
    inventoryQuantity
    -0.63
    hang
    -0.59
    sac
    -0.59
    apego
    -0.58
    cffffcc
    -0.58
    Po
    -0.57
    potion
    -0.57
    hemy
    -0.56
    POSITIVE LOGITS
     imaginable
    1.13
     alike
    1.06
     worldwide
    1.03
     including
    1.00
     vying
    0.95
     nationwide
    0.94
     irrespective
    0.93
     except
    0.89
     besides
    0.88
     simultaneously
    0.87
    Activations Density 0.379%

    No Known Activations