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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. 13046
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    INDEX
    Explanations

    mentions of time frames related to events or actions

    oai_token-act-pair · gpt-3.5-turbo

    temporal references, particularly regarding time frames and duration

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     ðŁĺ
    -0.81
     (@
    -0.77
     Allaah
    -0.70
     ;)
    -0.69
     Yesterday
    -0.68
    ã
    -0.68
     -->
    -0.67
    EStreamFrame
    -0.67
     ðŁĻĤ
    -0.66
    Yesterday
    -0.66
    POSITIVE LOGITS
     eventually
    0.91
     burgeoning
    0.90
     discouraged
    0.89
     fledgling
    0.88
    Eventually
    0.86
     nascent
    0.85
     postwar
    0.84
     pioneered
    0.83
     culminated
    0.83
    ixties
    0.79
    Activations Density 1.287%

    No Known Activations