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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. 7-RES-JB
    6. 13170
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    INDEX
    Explanations

    names of people or companies

    oai_token-act-pair · gpt-3.5-turbo

    proper names of individuals, specifically related to media or news contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hikers
    -0.62
     Reincarn
    -0.60
    Bird
    -0.60
     (?,
    -0.59
    lication
    -0.58
    âĵĺ
    -0.56
    dfx
    -0.56
    represented
    -0.54
    Footnote
    -0.53
    Scotland
    -0.53
    POSITIVE LOGITS
     (@
    0.86
    enegger
    0.85
    zinski
    0.79
    atz
    0.75
     Photography
    0.73
    icut
    0.69
     contributed
    0.67
    EStreamFrame
    0.66
    overe
    0.66
    ourke
    0.64
    Activations Density 0.202%

    No Known Activations