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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. 7-RES-JB
    11. 1696
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating temporal references and past events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CG
    -0.67
    atio
    -0.65
    Entry
    -0.65
    Scot
    -0.65
     suits
    -0.64
     masks
    -0.64
    Optional
    -0.63
    Later
    -0.63
    emaker
    -0.63
     offsets
    -0.62
    POSITIVE LOGITS
    lished
    0.79
    stros
    0.72
     Rampage
    0.70
     announcing
    0.66
     headlined
    0.65
    mber
    0.64
    ODUCT
    0.63
     commenter
    0.62
    NAS
    0.61
     STUD
    0.61
    Activations Density 0.198%

    No Known Activations