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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. 19950
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    Explanations

    problems or issues mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the term "problem" and its variations, indicating issues or challenges being discussed

    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
    rib
    -0.85
    urses
    -0.83
    orks
    -0.79
    theless
    -0.79
    rary
    -0.73
    arnaev
    -0.73
    ron
    -0.70
    alty
    -0.70
    arag
    -0.70
    riel
    -0.69
    POSITIVE LOGITS
     plag
    1.21
     solved
    1.09
     solving
    1.06
    atical
    0.97
    atic
    0.89
     confronting
    0.89
    Problem
    0.84
    atically
    0.84
    atics
    0.84
     endemic
    0.82
    Activations Density 0.071%

    No Known Activations