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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4712
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    Explanations

    phrases instructing or reminding about staying informed or updated

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize ongoing action or reminders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.77
    ãĥ¼ãĥĨ
    -0.72
    ELF
    -0.70
    ãĥ£
    -0.67
    éĹ
    -0.66
    ENTS
    -0.65
    cffffcc
    -0.63
     tom
    -0.63
     magically
    -0.63
     Jub
    -0.62
    POSITIVE LOGITS
    watch
    0.87
     Keep
    0.87
    Keep
    0.81
     Your
    0.79
     Recall
    0.78
    ership
    0.76
    ers
    0.75
    chin
    0.74
    Skip
    0.74
    gon
    0.74
    Activations Density 0.027%

    No Known Activations