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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. 7-RES-JB
    11. 3847
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    Explanations

    information related to cable, television networks, and broadcasting

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with cable television and programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ndra
    -0.84
    istry
    -0.80
    ertodd
    -0.79
    etsy
    -0.75
     Satoshi
    -0.74
    orian
    -0.71
     Cato
    -0.70
    yon
    -0.70
    orio
    -0.69
    selage
    -0.69
    POSITIVE LOGITS
     viewership
    1.20
     television
    1.20
     broadcasts
    1.19
     broadcasters
    1.17
     broadcasting
    1.16
     broadcaster
    1.16
     TVs
    1.15
    levision
    1.13
     TV
    1.13
     telev
    1.12
    Activations Density 0.211%

    No Known Activations