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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. 2441
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    Explanations

    words related to something being valuable or important

    oai_token-act-pair · gpt-3.5-turbo

    mentions of things considered valuable

    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
     Fever
    -0.77
    annis
    -0.76
    abi
    -0.75
    olog
    -0.73
    alis
    -0.71
    ulhu
    -0.70
    abel
    -0.66
    ologies
    -0.66
    central
    -0.65
    ilk
    -0.65
    POSITIVE LOGITS
     asset
    0.97
     valuable
    0.81
     trove
    0.80
     contribution
    0.79
     propositions
    0.78
     proposition
    0.77
     insights
    0.77
    Marginal
    0.74
     assets
    0.74
     possessions
    0.73
    Activations Density 0.021%

    No Known Activations