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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. 16650
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    Explanations

    phrases indicating a specific period of time or event occurrence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the timing of events

    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
    afety
    -0.76
    ombies
    -0.70
    mA
    -0.61
    ensor
    -0.60
     dearly
    -0.58
    /"
    -0.57
    wolf
    -0.57
     NEVER
    -0.55
    OST
    -0.55
    æĺ¯
    -0.55
    POSITIVE LOGITS
     gestation
    0.85
    imester
    0.84
     life
    0.82
     afternoon
    0.79
     evening
    0.79
    morning
    0.75
    than
    0.72
     pregnancy
    0.71
    itudes
    0.71
    cheon
    0.70
    Activations Density 0.064%

    No Known Activations