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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. 10-RES-JB
    6. 13368
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    INDEX
    Explanations

    mentions of television broadcasting networks and schedules

    oai_token-act-pair · gpt-3.5-turbo

    references to televised events and broadcast details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.99
    selage
    -0.78
    zsche
    -0.76
    ometric
    -0.74
    posal
    -0.72
    ebus
    -0.71
    ropy
    -0.69
    closure
    -0.68
    naire
    -0.67
     bloom
    -0.66
    POSITIVE LOGITS
     broadcasts
    1.21
     telev
    1.16
    levision
    1.15
     tv
    1.13
     broadcast
    1.11
    TV
    1.11
     ITV
    1.11
     TVs
    1.09
     TV
    1.07
     Television
    1.07
    Activations Density 0.169%

    No Known Activations