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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. 4-RES-JB
    11. 4618
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    Explanations

    instances of phrases related to quantities consisting of two-thirds

    oai_token-act-pair · gpt-3.5-turbo

    references to fractions, particularly two-thirds

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

    No Comments

    Negative Logits
     pastoral
    -0.72
    Journal
    -0.70
     fodder
    -0.65
    values
    -0.64
    league
    -0.63
     Redemption
    -0.62
     Pur
    -0.61
    flies
    -0.60
     DRAG
    -0.60
    BOOK
    -0.60
    POSITIVE LOGITS
    ousand
    0.81
    enary
    0.81
    quarters
    0.80
    dB
    0.79
    thirds
    0.78
    uously
    0.78
    poons
    0.77
    %%
    0.76
    imet
    0.75
    heric
    0.75
    Activations Density 0.034%

    No Known Activations