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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. 1-RES-JB
    11. 23267
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    Explanations

    references to time periods or events that occur yearly

    oai_token-act-pair · gpt-3.5-turbo

    references to yearly events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holes
    -0.78
    hole
    -0.74
     Handler
    -0.69
     Parad
    -0.68
    ole
    -0.67
     Hast
    -0.65
    Und
    -0.64
     Tunnel
    -0.63
    YD
    -0.62
    UTF
    -0.62
    POSITIVE LOGITS
     annual
    1.05
     yearly
    0.96
     oun
    0.82
     occas
    0.82
     quarterly
    0.81
     annually
    0.81
    phies
    0.81
     Annual
    0.81
     monthly
    0.79
    ãĥ¼ãĥĨãĤ£
    0.79
    Activations Density 0.009%

    No Known Activations