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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. 12777
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    Explanations

    specific time expressions in the format of times accompanied by aM or pM

    oai_token-act-pair · gpt-3.5-turbo

    time markers, specifically involving hours and minutes

    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
    lessly
    -0.67
    alogy
    -0.63
    urer
    -0.60
    asel
    -0.58
    saf
    -0.57
    itives
    -0.57
     Definitive
    -0.57
     divorced
    -0.55
    ylum
    -0.54
    raltar
    -0.54
    POSITIVE LOGITS
    pm
    1.32
     pm
    1.17
    PM
    1.13
    AM
    0.97
    GMT
    0.95
    am
    0.89
     noon
    0.88
     PST
    0.87
     hrs
    0.85
     PM
    0.85
    Activations Density 0.043%

    No Known Activations