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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. 2-RES-JB
    6. 4601
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    INDEX
    Explanations

    words related to negative experiences or emotions, particularly suffering and confrontation

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to suffering and confrontation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemTracker
    -0.76
    uyomi
    -0.69
    >>\
    -0.67
    fml
    -0.62
     srf
    -0.61
     afore
    -0.59
    cffffcc
    -0.58
     previously
    -0.58
     externalToEVAOnly
    -0.57
    avascript
    -0.57
    POSITIVE LOGITS
    ings
    1.54
    ments
    1.29
    ables
    1.26
    able
    1.22
    ingly
    1.20
    ers
    1.09
    INGS
    1.08
    backs
    1.06
    ties
    1.02
    ership
    1.02
    Activations Density 0.209%

    No Known Activations