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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. 7-RES-JB
    11. 20671
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    Explanations

    dates in the format year-month-day where the day or month is mentioned with a higher activation value

    oai_token-act-pair · gpt-3.5-turbo

    dates and specific time-related information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enza
    -0.76
    avorite
    -0.71
    osponsors
    -0.69
    ophone
    -0.69
    anova
    -0.69
     ancest
    -0.66
    igans
    -0.62
     ancestral
    -0.61
    estine
    -0.60
     overd
    -0.59
    POSITIVE LOGITS
    å¹
    0.76
    actionDate
    0.74
    01
    0.74
    ãĤ¡
    0.74
    1001
    0.74
    28
    0.71
    jun
    0.70
    çīĪ
    0.70
     02
    0.70
     partName
    0.69
    Activations Density 0.024%

    No Known Activations