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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. 6-RES-JB
    11. 23825
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    Explanations

    phrases related to being well-prepared or capable of handling a situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" indicating intention, capability, or purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grain
    -0.78
    listed
    -0.76
    blocks
    -0.69
     Lots
    -0.63
    _.
    -0.62
    ãĤ¼
    -0.61
     Nile
    -0.61
    afety
    -0.60
     Wanted
    -0.60
    books
    -0.59
    POSITIVE LOGITS
     capitalize
    1.05
     emulate
    0.99
     withstand
    0.97
     accomplish
    0.97
     achieve
    0.95
     avoid
    0.95
     deceive
    0.94
     minimize
    0.94
     accommodate
    0.94
     inflict
    0.94
    Activations Density 0.148%

    No Known Activations