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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10675
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    Explanations

    details or elements from a variety of different topics or sources

    oai_token-act-pair · gpt-3.5-turbo

    references to notable controversies and plot elements in media

    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
    ãĤ®
    -0.77
    ITNESS
    -0.69
     )]
    -0.66
    entin
    -0.65
    Percent
    -0.58
    after
    -0.57
    ificant
    -0.57
    ctuary
    -0.56
    ãĥĻ
    -0.56
    ãĤ±
    -0.56
    POSITIVE LOGITS
     seamlessly
    1.01
     nicely
    0.96
     sensibilities
    0.86
     effortlessly
    0.84
     tropes
    0.83
     beautifully
    0.82
     pioneered
    0.79
     themes
    0.77
    into
    0.75
     eleg
    0.75
    Activations Density 0.674%

    No Known Activations