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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. 3-RES-JB
    11. 17121
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    Explanations

    phrases related to effort and dedication

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of effort and the various contexts in which it is mentioned

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Passage
    -0.74
     Places
    -0.73
     Carnival
    -0.72
     Dealer
    -0.71
     Wrap
    -0.70
     Solitaire
    -0.69
     berth
    -0.64
     Contract
    -0.63
    osate
    -0.62
     passages
    -0.61
    POSITIVE LOGITS
     effort
    1.13
    arily
    0.82
     efforts
    0.82
    anan
    0.79
    lessly
    0.78
    mental
    0.78
    hered
    0.77
    ional
    0.77
    ful
    0.76
     attempt
    0.75
    Activations Density 0.025%

    No Known Activations