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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. 8-RES-JB
    11. 7153
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    Explanations

    temporal expressions related to durations of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the passage of time or duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.83
    âĺ
    -0.75
    quote
    -0.74
    REE
    -0.70
    ETS
    -0.68
    Winner
    -0.66
    ALE
    -0.64
    AME
    -0.64
     redistributed
    -0.64
    æ©
    -0.63
    POSITIVE LOGITS
     exhaustive
    0.98
     exhausting
    0.95
     hiatus
    0.94
     iterations
    0.92
     unsuccessful
    0.90
     stint
    0.85
     ardu
    0.84
     periods
    0.84
     stren
    0.83
     hesitation
    0.83
    Activations Density 0.129%

    No Known Activations