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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. 11-RES-JB
    11. 22598
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    INDEX
    Explanations

    words related to desires, particularly strong wants or wishes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illian
    -0.72
    miah
    -0.66
    ulty
    -0.66
    erno
    -0.65
    à¼
    -0.64
    usting
    -0.62
    querque
    -0.62
    ilion
    -0.61
    Recomm
    -0.60
    nikov
    -0.60
    POSITIVE LOGITS
     to
    1.17
     us
    0.91
     assurances
    0.91
     nothing
    0.87
     answers
    0.86
     clarity
    0.81
    to
    0.78
     rid
    0.77
     clarification
    0.76
     everyone
    0.76
    Activations Density 0.097%

    No Known Activations