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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 18071
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technology and its capabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndum
    -0.57
    tons
    -0.57
    reau
    -0.56
    bons
    -0.56
    forth
    -0.56
    geist
    -0.55
    ÄŁ
    -0.54
    etts
    -0.54
    alogue
    -0.52
    enegger
    -0.51
    POSITIVE LOGITS
    Untitled
    0.69
    Ń·
    0.65
    Asset
    0.65
     Seller
    0.63
     Citiz
    0.62
    ãĥ´
    0.59
    thumbnails
    0.59
    Movie
    0.56
     celeb
    0.56
    bleacher
    0.55
    Activations Density 0.511%

    No Known Activations