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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. 12331
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    Explanations

    time ranges or periods

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time ranges or durations

    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
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    Negative Logits
    airy
    -0.78
    ETF
    -0.66
     ILCS
    -0.61
     shone
    -0.60
    )\
    -0.59
     rall
    -0.59
    ijn
    -0.58
    lu
    -0.57
    inant
    -0.57
    tek
    -0.56
    POSITIVE LOGITS
    essee
    0.84
    termination
    0.75
    ober
    0.69
    ocaly
    0.66
     2025
    0.66
     October
    0.66
     midnight
    0.65
     Thanksgiving
    0.63
     December
    0.63
     2024
    0.62
    Activations Density 0.072%

    No Known Activations