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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. 9-RES-JB
    11. 7090
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    INDEX
    Explanations

    time-related terms and events occurring in chronological order

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time periods or historical contexts

    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
    alon
    -0.72
    LED
    -0.72
    Pool
    -0.72
    ograp
    -0.71
    Express
    -0.71
    ãĤĬ
    -0.71
     voic
    -0.71
    ãĤĮ
    -0.70
    Avg
    -0.69
     workouts
    -0.68
    POSITIVE LOGITS
     1945
    1.27
     1900
    1.21
     1970
    1.21
     1950
    1.20
     1910
    1.19
     1960
    1.19
     1980
    1.18
     WWII
    1.17
     1947
    1.17
     1929
    1.17
    Activations Density 0.289%

    No Known Activations