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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. 11-RES-JB
    11. 6030
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    Explanations

    words related to specific physical locations or establishments

    oai_token-act-pair · gpt-3.5-turbo

    locations and establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marketable
    -0.91
    lihood
    -0.69
    ï¸ı
    -0.69
     Rounds
    -0.67
     Incarn
    -0.67
     Helpful
    -0.64
     undone
    -0.64
    pring
    -0.64
     Unloaded
    -0.64
    Ô
    -0.62
    POSITIVE LOGITS
     owner
    1.45
    keeper
    1.28
     operator
    1.27
     manager
    1.27
    owner
    1.27
     worker
    1.26
     owners
    1.25
     clerk
    1.25
     employee
    1.25
    goers
    1.22
    Activations Density 0.309%

    No Known Activations