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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. 4-RES-JB
    11. 11350
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    Explanations

    technical details about devices and equipment, particularly focusing on maintenance and functionality

    oai_token-act-pair · gpt-3.5-turbo

    references to technology and electronic devices

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

    No Comments

    Negative Logits
    jri
    -0.64
    icit
    -0.63
    ional
    -0.62
    stellar
    -0.61
     Survivors
    -0.61
     Scholars
    -0.60
    Justice
    -0.59
    rue
    -0.59
    prise
    -0.58
    racial
    -0.57
    POSITIVE LOGITS
    Temperature
    0.72
     charger
    0.66
     heater
    0.66
     operated
    0.64
     printers
    0.63
     simulator
    0.63
    operated
    0.60
     modem
    0.59
    arettes
    0.59
    apon
    0.58
    Activations Density 1.501%

    No Known Activations