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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. 2758
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    Explanations

    mentions of events or conferences that took place in a specific year

    oai_token-act-pair · gpt-3.5-turbo

    references to the previous year in relation to events or occurrences

    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
     textual
    -0.82
     zipper
    -0.79
     cumbers
    -0.69
     chains
    -0.69
     Tray
    -0.65
     encl
    -0.65
     collar
    -0.63
    UTF
    -0.63
    cro
    -0.63
    hod
    -0.63
    POSITIVE LOGITS
    long
    1.01
    book
    0.86
     ago
    0.72
     olds
    0.71
    mberg
    0.71
    nings
    0.70
    âĢ²
    0.70
     anniversary
    0.69
    lins
    0.68
    女
    0.68
    Activations Density 0.075%

    No Known Activations