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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. 10-RES-JB
    11. 10709
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    Explanations

    phrases relating to what one receives or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of receiving or obtaining something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Principle
    -0.65
     annex
    -0.60
     cardinal
    -0.60
     centerpiece
    -0.57
     Family
    -0.57
     demol
    -0.56
     maiden
    -0.55
    unts
    -0.55
     modesty
    -0.54
     corrid
    -0.53
    POSITIVE LOGITS
     rid
    1.05
    DragonMagazine
    0.87
    cation
    0.80
     from
    0.79
    soever
    0.77
     rewarded
    0.77
     thrown
    0.76
    acet
    0.74
     sucked
    0.74
     stuck
    0.72
    Activations Density 0.046%

    No Known Activations