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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. 3-RES-JB
    11. 9605
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    INDEX
    Explanations

    mentions of strong commitments or dedication

    oai_token-act-pair · gpt-3.5-turbo

    references to commitment in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adish
    -0.78
    dos
    -0.71
     Modified
    -0.68
    avis
    -0.67
     Caucas
    -0.66
    bin
    -0.65
    java
    -0.63
    天
    -0.62
    phe
    -0.61
    isen
    -0.61
    POSITIVE LOGITS
     commitment
    1.02
     commitments
    0.85
    irmation
    0.83
    gence
    0.82
     allegiance
    0.82
    xual
    0.80
    venant
    0.79
    itiz
    0.78
    itivity
    0.75
     encour
    0.74
    Activations Density 0.016%

    No Known Activations