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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. 15221
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    Explanations

    words related to technical specifications such as display types and resolutions, as well as terms related to events or places that include "Retreat" in the name

    oai_token-act-pair · gpt-3.5-turbo

    words related to retinal technology and its applications

    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
    inki
    -0.79
     hemor
    -0.69
    ashtra
    -0.69
     uninsured
    -0.68
    ullah
    -0.62
     Commerce
    -0.62
     Whitman
    -0.62
    án
    -0.61
    ĨĴ
    -0.61
     deleg
    -0.59
    POSITIVE LOGITS
    eval
    0.90
    dden
    0.85
    escription
    0.80
    llor
    0.74
    acement
    0.73
    Sax
    0.72
    ESE
    0.71
    Brave
    0.70
    POSE
    0.70
    cycles
    0.70
    Activations Density 0.042%

    No Known Activations