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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    the word "sum" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "sum" related to data or calculations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     JJ
    -0.82
     preferential
    -0.78
    eways
    -0.76
     Kelvin
    -0.70
     Leonard
    -0.69
     Kraft
    -0.68
     Fleming
    -0.67
    eway
    -0.65
     STD
    -0.64
    ricted
    -0.64
    POSITIVE LOGITS
    sum
    3.39
    Sum
    2.78
     SUM
    1.73
     sum
    1.72
     Sum
    1.60
     Summon
    1.51
     Summers
    1.48
     summon
    1.42
     summoning
    1.24
     summed
    1.22
    Activations Density 0.038%

    No Known Activations