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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. 9-RES-JB
    6. 15740
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    Explanations

    years or numerical references related to events

    oai_token-act-pair · gpt-3.5-turbo

    specific years, significant events, and milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è»
    -0.82
    artifacts
    -0.78
    paralle
    -0.73
    ItemTracker
    -0.70
    iano
    -0.70
    elligence
    -0.69
    pots
    -0.67
    sheets
    -0.67
    annis
    -0.66
    utils
    -0.65
    POSITIVE LOGITS
     anniversary
    1.31
     month
    1.16
     year
    1.15
    Year
    1.14
     Year
    1.07
     Month
    1.06
     date
    1.01
     countdown
    0.99
     birthday
    0.97
     deadline
    0.97
    Activations Density 0.211%

    No Known Activations