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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. 442
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    INDEX
    Explanations

    phrases related to quantity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to the magnitude or extent of something described as "sheer."

    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
    anwhile
    -0.83
    afort
    -0.79
    azine
    -0.75
    ntil
    -0.71
    ublic
    -0.71
    mercial
    -0.70
    lict
    -0.69
    bye
    -0.69
    ogun
    -0.69
    ajo
    -0.68
    POSITIVE LOGITS
     coincidence
    1.01
     quantity
    0.98
     volume
    0.97
    tons
    0.89
     numbers
    0.88
     sheer
    0.85
     unbeliev
    0.80
    ness
    0.79
     quantities
    0.79
    ity
    0.79
    Activations Density 0.012%

    No Known Activations