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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. 4-RES-JB
    11. 2835
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    Explanations

    details related to specific dates and measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly those in the 1900s

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

    No Comments

    Negative Logits
    orc
    -0.92
    aminer
    -0.89
    ensional
    -0.77
    etitive
    -0.76
    iants
    -0.75
    oaded
    -0.75
    ellation
    -0.75
    igent
    -0.74
    orem
    -0.73
    anguage
    -0.71
    POSITIVE LOGITS
    th
    1.02
    âĸĪâĸĪ
    0.94
    08
    0.89
    09
    0.89
    07
    0.88
    61
    0.87
    05
    0.86
    06
    0.83
    03
    0.82
    04
    0.79
    Activations Density 0.021%

    No Known Activations