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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. 9340
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    Explanations

    sentences expressing the need for action or change

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating a strong sense of necessity for action or change

    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
     CLSID
    -0.65
    eem
    -0.62
    erno
    -0.61
    ulty
    -0.59
    empt
    -0.58
    lio
    -0.58
    uated
    -0.57
    Dro
    -0.57
    anka
    -0.57
    Initialized
    -0.57
    POSITIVE LOGITS
    lessly
    0.99
     to
    0.92
    n
    0.87
     clarity
    0.84
     assurances
    0.83
     help
    0.80
     stronger
    0.78
     answers
    0.78
     clarification
    0.77
     someone
    0.75
    Activations Density 0.058%

    No Known Activations