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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. 16808
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    Explanations

    references to specific dates and events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or announcements, particularly in a political or governmental context

    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
     Anyway
    -0.56
     derivative
    -0.53
     crafts
    -0.52
    Anyway
    -0.51
     CLSID
    -0.49
    endif
    -0.49
     decoration
    -0.49
     abound
    -0.49
     dimin
    -0.49
     countered
    -0.49
    POSITIVE LOGITS
    ursday
    0.64
    anticipated
    0.62
    thouse
    0.59
    Reviewer
    0.58
    apeake
    0.58
     unexpectedly
    0.57
    moil
    0.57
    dule
    0.56
    awaited
    0.56
    isode
    0.54
    Activations Density 2.873%

    No Known Activations