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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. 6-RES-JB
    6. 2330
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    Explanations

    text related to the origination or source of information/document, especially information being obtained or acquired

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "obtained by" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acci
    -0.83
    apest
    -0.79
    ivia
    -0.71
    yl
    -0.70
    stones
    -0.68
     squared
    -0.67
    Interstitial
    -0.66
    ppa
    -0.65
    ymes
    -0.64
    ettes
    -0.64
    POSITIVE LOGITS
     Yahoo
    0.82
     Newsweek
    0.81
     POLITICO
    0.77
     HuffPost
    0.76
     Inquis
    0.75
     Forbes
    0.72
     VICE
    0.71
     TMZ
    0.71
     Fortune
    0.71
     Politico
    0.71
    Activations Density 0.087%

    No Known Activations