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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. 8-RES-JB
    11. 1855
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    Explanations

    titles or names of various films, TV shows, and other media

    oai_token-act-pair · gpt-3.5-turbo

    the character or title of fictional narratives or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.78
     scattering
    -0.76
     reflection
    -0.73
     incent
    -0.71
     puff
    -0.69
     sacrific
    -0.69
     myster
    -0.68
     arrang
    -0.68
     ende
    -0.67
     blot
    -0.67
    POSITIVE LOGITS
    ¯
    0.91
    ï¸ı
    0.81
    Tea
    0.79
    é¾į
    0.78
    ranch
    0.77
    ÃĽ
    0.76
    Hug
    0.76
    Dog
    0.74
    tm
    0.73
    STEM
    0.72
    Activations Density 0.141%

    No Known Activations