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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. 11-RES-JB
    11. 2042
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    Explanations

    phrases related to struggling or facing challenges

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ha" indicating laughter or amusement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scales
    -0.67
    é¾įå¥ij士
    -0.67
     AQ
    -0.61
     multiplier
    -0.59
    geist
    -0.59
     luck
    -0.59
     bottom
    -0.59
     MFT
    -0.58
     slides
    -0.58
     ATK
    -0.57
    POSITIVE LOGITS
    pless
    1.32
    ilst
    1.32
    iling
    1.22
    iku
    1.20
    uling
    1.19
    ptic
    1.14
    ils
    1.11
    zy
    1.06
    ird
    1.05
    uls
    1.03
    Activations Density 0.016%

    No Known Activations