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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. 8-RES-JB
    11. 10175
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    Explanations

    interactive elements such as buttons, boxes, and video prompts within a text

    oai_token-act-pair · gpt-3.5-turbo

    elements related to interaction prompts and media content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.68
     Canaveral
    -0.64
     Disorder
    -0.63
     Matter
    -0.59
     Hass
    -0.58
     Judaism
    -0.58
    åĮ
    -0.58
     Sachs
    -0.57
    uddenly
    -0.57
     rival
    -0.56
    POSITIVE LOGITS
     below
    0.73
    iest
    0.73
    osphere
    0.70
     pictured
    0.67
    ultimate
    0.67
     above
    0.65
    liest
    0.64
     portion
    0.64
     itself
    0.60
    icter
    0.60
    Activations Density 0.375%

    No Known Activations