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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. 7-RES-JB
    11. 24037
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names or references to specific individuals and their contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.70
     economy
    -0.66
    tera
    -0.64
     forecast
    -0.64
     electronically
    -0.63
     envis
    -0.63
    availability
    -0.63
     overlay
    -0.63
     visibility
    -0.61
     misconception
    -0.61
    POSITIVE LOGITS
    ĪĴ
    0.90
     Seym
    0.84
     Bryce
    0.81
     Bass
    0.81
    Sham
    0.79
     Louie
    0.79
     Lenn
    0.78
     Ben
    0.78
     Tanner
    0.78
     Brock
    0.78
    Activations Density 0.147%

    No Known Activations