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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. 9-RES-JB
    11. 24201
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    INDEX
    Explanations

    mentions of strong dedication or promises towards certain actions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to commitments or pledges in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    adish
    -0.73
    rors
    -0.68
    NetMessage
    -0.68
    Ļ½
    -0.67
     Ferdinand
    -0.65
    rums
    -0.65
    iris
    -0.64
    ourning
    -0.62
    ãĤ¨ãĥ«
    -0.61
     Moroc
    -0.61
    POSITIVE LOGITS
     allegiance
    0.99
     commitment
    0.92
     pledges
    0.86
     commitments
    0.86
     pledge
    0.81
    ment
    0.76
     to
    0.71
     obligation
    0.71
     commits
    0.71
    mental
    0.69
    Activations Density 0.044%

    No Known Activations