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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. 11-RES-JB
    11. 5342
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    Explanations

    phrases related to personal activities and tasks

    oai_token-act-pair · gpt-3.5-turbo

    activities related to teamwork and collaboration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Leary
    -0.79
    versible
    -0.76
    anza
    -0.74
    answer
    -0.71
    ridge
    -0.71
    century
    -0.69
    SPONSORED
    -0.68
    osta
    -0.68
    UME
    -0.68
    STAT
    -0.67
    POSITIVE LOGITS
     alot
    1.59
     various
    1.21
     lots
    1.20
     everything
    1.17
     many
    1.15
     EVERY
    1.04
     tons
    1.03
     numerous
    1.02
     LOT
    1.02
     some
    1.00
    Activations Density 0.571%

    No Known Activations