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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. 10-RES-JB
    6. 8826
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    Explanations

    phrases related to caution or warning

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to conditions, requirements, and processes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \":
    -0.53
     whistleblower
    -0.52
    umbai
    -0.49
    DEBUG
    -0.49
    OOOOOOOO
    -0.49
    OPLE
    -0.48
    oros
    -0.46
    DragonMagazine
    -0.46
     Panthers
    -0.45
     Greenberg
    -0.45
    POSITIVE LOGITS
     unless
    0.89
     due
    0.88
     afterwards
    0.86
     whilst
    0.82
     anyways
    0.81
     anymore
    0.80
     alike
    0.80
     anyway
    0.80
    .[
    0.79
    .
    0.78
    Activations Density 0.736%

    No Known Activations