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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. 2-RES-JB
    11. 17363
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    Explanations

    references to Nvidia and GeForce technology

    oai_token-act-pair · gpt-3.5-turbo

    references to NVIDIA and its graphics hardware products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kok
    -0.82
    angers
    -0.71
    irl
    -0.71
    orship
    -0.70
    eur
    -0.70
    olid
    -0.69
    esty
    -0.68
    piece
    -0.67
    geries
    -0.65
    vict
    -0.65
    POSITIVE LOGITS
     Quadro
    1.30
    PDATE
    1.23
     GeForce
    1.21
     GPUs
    1.18
     Nvidia
    1.17
     GTX
    1.08
    NVIDIA
    1.05
    vidia
    1.00
     SLI
    1.00
     NVIDIA
    0.98
    Activations Density 0.008%

    No Known Activations