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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. 14808
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    Explanations

    specific mentions of a year and its repetition in consecutive years

    oai_token-act-pair · gpt-3.5-turbo

    instances of repetition or consecutiveness over time

    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
    rez
    -0.66
    lication
    -0.65
    auna
    -0.62
    olini
    -0.62
    enment
    -0.61
    lich
    -0.59
    abwe
    -0.56
    piring
    -0.55
     laughter
    -0.55
     9000
    -0.54
    POSITIVE LOGITS
     consecutive
    0.97
     successive
    0.82
     consecut
    0.80
     since
    0.71
    straight
    0.70
    ç
    0.70
    ajo
    0.68
     apiece
    0.67
     postp
    0.66
    ħĭ
    0.64
    Activations Density 0.162%

    No Known Activations