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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. 11-RES-JB
    6. 18773
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    INDEX
    Explanations

    mentions of radio-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of radio and related broadcasting terms

    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
    rir
    -0.72
    rin
    -0.71
    rine
    -0.69
    ortium
    -0.68
     Staples
    -0.67
    rg
    -0.66
     Solitaire
    -0.66
     Snape
    -0.65
    laus
    -0.65
    uation
    -0.65
    POSITIVE LOGITS
    activity
    1.32
    active
    1.19
    actively
    1.16
    frequency
    1.16
     station
    1.06
     stations
    1.05
     silence
    0.94
     broadcasts
    0.94
     transmissions
    0.93
     waves
    0.90
    Activations Density 0.030%

    No Known Activations