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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. 9-RES-JB
    11. 23599
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    Explanations

    references to time periods, specifically focusing on recent or past occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the passage of time, specifically referring to recent years or decades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inki
    -0.82
    aith
    -0.66
    oops
    -0.63
    ``
    -0.62
    cause
    -0.62
     Defin
    -0.60
    inges
    -0.60
    Ingredients
    -0.58
    because
    -0.57
    PLIED
    -0.56
    POSITIVE LOGITS
     there
    0.86
     we
    0.80
     successive
    0.67
     since
    0.66
    ,
    0.65
     nobody
    0.63
     they
    0.60
     meanwhile
    0.59
     however
    0.59
     psychologists
    0.57
    Activations Density 0.162%

    No Known Activations