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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16004
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    INDEX
    Explanations

    phrases related to self-acceptance and mindfulness

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to self-acceptance and personal growth

    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
    apo
    -0.86
    bernatorial
    -0.82
     teasp
    -0.80
    ©¶æ¥µ
    -0.77
    assic
    -0.77
    EStream
    -0.74
    mpeg
    -0.74
    audi
    -0.73
    east
    -0.73
    interstitial
    -0.72
    POSITIVE LOGITS
     oneself
    1.51
     yourself
    1.43
     emotions
    1.33
     adversity
    1.23
     ourselves
    1.19
     yourselves
    1.17
     sensations
    1.15
     emotion
    1.13
     negativity
    1.13
     Yourself
    1.11
    Activations Density 0.354%

    No Known Activations