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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. 7-RES-JB
    11. 23593
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    INDEX
    Explanations

    mentions of strong dedication or promises in text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of dedication or obligation to a cause or goal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adish
    -0.77
     complexion
    -0.73
    ourning
    -0.69
    atin
    -0.67
    NetMessage
    -0.67
    phe
    -0.66
    oiler
    -0.66
    quer
    -0.65
    annis
    -0.65
     Moroc
    -0.65
    POSITIVE LOGITS
     commitment
    1.02
     allegiance
    0.93
     commitments
    0.91
     obligation
    0.78
    venant
    0.78
    gence
    0.76
    irmation
    0.76
    duty
    0.73
     pledges
    0.73
    ment
    0.72
    Activations Density 0.023%

    No Known Activations