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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. 13926
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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to specific entities or names in various contexts

    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
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    Negative Logits
    ––
    -0.64
    -"
    -0.61
    etsy
    -0.57
    ãĥķãĤ©
    -0.54
    âĢ¦."
    -0.54
    ãĢı
    -0.53
     retali
    -0.53
     Nept
    -0.53
     retained
    -0.53
     fortunate
    -0.51
    POSITIVE LOGITS
    ategory
    0.95
    earances
    0.79
    ailability
    0.74
    cloneembedreportprint
    0.72
    oreAnd
    0.72
     Started
    0.72
    Joined
    0.71
    eatures
    0.71
    StreamerBot
    0.69
     pione
    0.69
    Activations Density 0.277%

    No Known Activations