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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. 5-RES-JB
    6. 5178
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    Explanations

    This neuron is looking for words related to imperfection or flaws

    oai_token-act-pair · gpt-3.5-turbo

    terms related to permanence and inevitability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.85
    wagen
    -0.80
     guiActiveUnfocused
    -0.70
     CDs
    -0.68
    âĸ¬
    -0.67
     GOODMAN
    -0.66
    hops
    -0.65
    hare
    -0.65
    WAYS
    -0.64
    ãĥ¯ãĥ³
    -0.64
    POSITIVE LOGITS
    vious
    1.13
    ishable
    1.13
    missible
    1.10
    manent
    1.09
    iled
    0.89
    mented
    0.89
    bably
    0.89
    pex
    0.87
    redict
    0.86
    igen
    0.85
    Activations Density 0.012%

    No Known Activations