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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. 3-RES-JB
    11. 4108
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    INDEX
    Explanations

    mentions of radio activities, such as interviews, shows, and broadcasts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "radio"

    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
    20439
    -0.88
    rir
    -0.78
    AGES
    -0.76
     Bane
    -0.74
    jamin
    -0.74
     Snape
    -0.73
    rg
    -0.71
     Norn
    -0.70
    ortium
    -0.70
    lihood
    -0.70
    POSITIVE LOGITS
    actively
    1.17
    activity
    1.08
    active
    1.04
     radio
    1.01
     antennas
    0.98
     stations
    0.96
     transmitter
    0.95
     antenna
    0.94
     broadcasts
    0.93
     station
    0.92
    Activations Density 0.013%

    No Known Activations