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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 18653
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    Explanations

    numbers in the thousands

    oai_token-act-pair · gpt-3.5-turbo

    numerical values representing large quantities or counts in documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cth
    -0.66
    sylv
    -0.65
    enhagen
    -0.64
     WAY
    -0.62
    yll
    -0.62
    ollah
    -0.60
    vana
    -0.59
     Takeru
    -0.58
    uggest
    -0.58
    asma
    -0.56
    POSITIVE LOGITS
    000
    1.30
    600
    0.99
    800
    0.98
    700
    0.94
    400
    0.93
    500
    0.91
    200
    0.89
    00
    0.88
    045
    0.84
    075
    0.84
    Activations Density 0.408%

    No Known Activations