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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. 10-RES-JB
    11. 10688
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    Explanations

    phrases related to taking a stand or standing up for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to standing up or taking a stand for a cause

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.76
    76561
    -0.73
    sonian
    -0.71
    vernment
    -0.70
    ocaly
    -0.68
    fiction
    -0.66
    selage
    -0.63
    è¦ļéĨĴ
    -0.62
    hiba
    -0.61
    ãĥīãĥ©ãĤ´ãĥ³
    -0.60
    POSITIVE LOGITS
     firm
    0.94
     steadfast
    0.93
     vigil
    0.92
     upright
    0.90
     beside
    0.86
     tall
    0.86
    still
    0.86
     Firm
    0.86
     united
    0.84
     ath
    0.83
    Activations Density 0.028%

    No Known Activations