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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. 11914
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    Explanations

    the word "neutral" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to neutrality and neutral positions

    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
     millenn
    -0.76
     challeng
    -0.70
    Mill
    -0.68
    omething
    -0.66
    Hop
    -0.66
    teenth
    -0.65
    heres
    -0.64
    RET
    -0.64
    PER
    -0.63
     toget
    -0.63
    POSITIVE LOGITS
    izing
    1.39
    ization
    1.27
    izers
    1.19
    ized
    1.19
    ize
    1.18
    izes
    1.16
    izer
    1.16
    ity
    1.14
    izable
    1.06
    ising
    1.05
    Activations Density 0.019%

    No Known Activations