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    1. Home
    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. 11589
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    INDEX
    Explanations

    references to specific periods of time, particularly recent ones

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods or durations

    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
    lees
    -0.86
    pherd
    -0.79
    olor
    -0.79
    aband
    -0.73
    marks
    -0.68
    á
    -0.67
    then
    -0.67
    acers
    -0.66
    olas
    -0.66
    ollow
    -0.66
    POSITIVE LOGITS
     decade
    1.34
     millenn
    1.16
     few
    1.07
     gasp
    1.04
     couple
    1.02
     month
    1.01
     millennium
    0.99
     installment
    0.99
     century
    0.99
     week
    0.98
    Activations Density 0.045%

    No Known Activations