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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. 2676
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    Explanations

    dates written as month followed by year

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers indicating dates or time-related information

    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
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    No Comments

    Negative Logits
    ij士
    -0.75
     tradem
    -0.70
    âĹ¼
    -0.69
     enthusi
    -0.69
    waters
    -0.68
     advoc
    -0.67
     therap
    -0.65
     oun
    -0.64
     dens
    -0.61
    amaz
    -0.61
    POSITIVE LOGITS
    34
    0.77
    999
    0.71
    %
    0.71
    49
    0.70
    38
    0.70
    31
    0.70
    91
    0.69
    59
    0.69
    58
    0.68
    41
    0.68
    Activations Density 0.120%

    No Known Activations