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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. 2-RES-JB
    11. 709
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    Explanations

    the word "dilemma"

    oai_token-act-pair · gpt-4-turbo

    words related to difficult decisions or problems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dilemmas and conflicts

    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
    rollers
    -0.80
    ewitness
    -0.78
    erd
    -0.76
    ahon
    -0.73
    rations
    -0.73
    authorized
    -0.72
    alls
    -0.72
    ingers
    -0.72
    ighters
    -0.71
    brance
    -0.71
    POSITIVE LOGITS
     dilemma
    1.37
    undrum
    1.06
     predicament
    0.95
     facing
    0.89
     dile
    0.87
     paradox
    0.85
    naire
    0.80
     faced
    0.75
     confronting
    0.74
     horr
    0.74
    Activations Density 0.014%

    No Known Activations