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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. 1-RES-JB
    11. 12999
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    Explanations

    mentions of specific computer hardware components related to visuals and displays

    oai_token-act-pair · gpt-3.5-turbo

    references to graphics technology and hardware

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.78
    lain
    -0.73
    hood
    -0.68
    inel
    -0.66
    uth
    -0.65
     Yard
    -0.65
    hurst
    -0.64
    ishable
    -0.64
    olit
    -0.64
    20439
    -0.63
    POSITIVE LOGITS
     graphics
    1.36
    Graphics
    1.10
     Graphics
    1.06
    PDATE
    0.90
    raphics
    0.89
     cards
    0.88
     graphic
    0.84
    vidia
    0.83
    fx
    0.83
    ystem
    0.82
    Activations Density 0.007%

    No Known Activations