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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. 4173
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    Explanations

    phrases related to waiting in line

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to waiting or queuing experiences

    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
     Cosponsors
    -0.72
     Charity
    -0.69
     1971
    -0.65
     Robertson
    -0.65
    :[
    -0.65
     interviewed
    -0.64
     1921
    -0.64
     Coalition
    -0.64
     1967
    -0.63
     1963
    -0.61
    POSITIVE LOGITS
     crappy
    0.92
    )).
    0.84
     hassle
    0.81
    ?).
    0.79
     boring
    0.78
     crap
    0.77
     veggies
    0.75
     shitty
    0.74
     haha
    0.74
     babys
    0.73
    Activations Density 1.484%

    No Known Activations