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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. 1-RES-JB
    11. 18718
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    Explanations

    words related to achieving success or winning

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of victory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omorphic
    -0.71
     pores
    -0.67
    hemy
    -0.67
     borrowed
    -0.66
     pree
    -0.65
    asus
    -0.63
    gon
    -0.63
     existing
    -0.62
     abund
    -0.62
    anium
    -0.62
    POSITIVE LOGITS
     victory
    1.19
     victories
    1.06
     defeat
    1.01
     Victory
    0.90
     defeats
    0.87
     triumph
    0.85
     vict
    0.83
     win
    0.79
    Sham
    0.78
    vict
    0.75
    Activations Density 0.013%

    No Known Activations