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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. 9-RES-JB
    11. 2802
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    Explanations

    web page elements such as buttons, layouts, and formatting instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific pages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CAST
    -0.76
    EStreamFrame
    -0.68
     Lauder
    -0.66
    eca
    -0.65
    oise
    -0.65
    ALLY
    -0.62
    quartered
    -0.61
    NetMessage
    -0.61
     whistle
    -0.60
     Jaw
    -0.60
    POSITIVE LOGITS
    antry
    1.53
    views
    1.16
    pages
    1.01
    ants
    0.96
    earance
    0.85
    render
    0.80
    cox
    0.78
     layouts
    0.76
     layout
    0.71
    walker
    0.71
    Activations Density 0.040%

    No Known Activations