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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2374
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    Explanations

    dates in month-year format

    oai_token-act-pair · gpt-3.5-turbo

    references to dates, particularly those formatted with months and years

    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
     Genius
    -0.73
     Ped
    -0.66
     Suit
    -0.64
     Secrets
    -0.62
     Tall
    -0.60
     sod
    -0.60
     Penn
    -0.59
     Chance
    -0.58
     Citizenship
    -0.58
     Vent
    -0.58
    POSITIVE LOGITS
    RFC
    0.87
    division
    0.86
    MSN
    0.84
    ĭ
    0.83
    middle
    0.81
    verbs
    0.80
    §
    0.80
    à¹
    0.78
    asin
    0.77
    III
    0.76
    Activations Density 0.058%

    No Known Activations