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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. 17316
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    Explanations

    instances where something is 'discussed'

    oai_token-act-pair · gpt-3.5-turbo

    references to discussions or mentions of specific topics

    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
    ngth
    -0.74
    agogue
    -0.68
    elected
    -0.66
    oso
    -0.64
    arnaev
    -0.59
    ãĥ©ãĥ³
    -0.58
    osi
    -0.57
    azo
    -0.57
    lig
    -0.56
    udos
    -0.56
    POSITIVE LOGITS
     beforehand
    1.13
     aloud
    1.13
     publicly
    1.12
     afterwards
    1.10
     openly
    1.05
     afterward
    1.05
     happening
    0.99
     topics
    0.96
     internally
    0.95
     extensively
    0.94
    Activations Density 0.195%

    No Known Activations