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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. 144
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    Explanations

    specific dates and times mentioned in a narrative

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and times in narrative descriptions

    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
    eu
    -0.74
    ©¶æ¥µ
    -0.69
    osponsors
    -0.69
    taboola
    -0.67
    ername
    -0.65
     backer
    -0.65
     redes
    -0.65
     endors
    -0.63
     creditor
    -0.63
     creditors
    -0.62
    POSITIVE LOGITS
     mornings
    1.13
    ivan
    0.93
    morning
    0.92
     morning
    0.90
     evenings
    0.90
     innoc
    0.87
    dream
    0.81
     dusk
    0.79
    stice
    0.77
    DAY
    0.77
    Activations Density 0.289%

    No Known Activations