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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. 11-RES-JB
    11. 3645
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    Explanations

    numbers with decimals

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to measurements and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.88
     enthusi
    -0.87
     advis
    -0.82
     undermin
    -0.81
     unden
    -0.77
     metic
    -0.76
     gobl
    -0.76
     veter
    -0.75
     entreprene
    -0.74
    ortunately
    -0.73
    POSITIVE LOGITS
    00
    1.74
    0
    1.72
    6666
    1.59
    5
    1.56
    3333
    1.56
    9
    1.55
    66666666
    1.53
    8
    1.53
    6
    1.49
    67
    1.48
    Activations Density 0.082%

    No Known Activations