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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. 3-RES-JB
    11. 299
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    Explanations

    references to the computer hardware company NVIDIA and its products

    oai_token-act-pair · gpt-3.5-turbo

    references to NVIDIA and its related products or technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angers
    -0.79
    byss
    -0.76
    vict
    -0.75
    geries
    -0.75
    eur
    -0.74
    iry
    -0.73
    handler
    -0.72
    orship
    -0.71
    ĸļ
    -0.71
    oire
    -0.71
    POSITIVE LOGITS
     GPUs
    1.14
     GeForce
    1.08
     Quadro
    1.07
    PDATE
    1.06
    NVIDIA
    1.02
     Nvidia
    0.97
     GTX
    0.93
     GPU
    0.93
    GPU
    0.93
     NVIDIA
    0.87
    Activations Density 0.009%

    No Known Activations