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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15727
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    Explanations

    years represented in the format 'YYYY'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years or dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lass
    -0.79
     stead
    -0.78
    amber
    -0.77
    hed
    -0.75
    ess
    -0.73
    kell
    -0.70
    esses
    -0.70
    iqu
    -0.70
    estine
    -0.69
    terday
    -0.69
    POSITIVE LOGITS
    å¹
    1.43
    天
    0.85
     Edition
    0.82
    -'
    0.77
     edition
    0.76
     EDITION
    0.76
     Nobel
    0.75
    â̲
    0.75
     vintage
    0.74
     Remastered
    0.72
    Activations Density 0.110%

    No Known Activations