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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. 2-RES-JB
    11. 17730
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    Explanations

    terms related to television viewership

    oai_token-act-pair · gpt-3.5-turbo

    references to audiences and viewer engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mine
    -0.72
     reorgan
    -0.67
    erald
    -0.64
     Surgery
    -0.64
     Alz
    -0.63
    orie
    -0.63
    redo
    -0.62
     Shotgun
    -0.61
    red
    -0.61
    agna
    -0.60
    POSITIVE LOGITS
     viewers
    1.12
     viewership
    0.97
     tuned
    0.93
     wat
    0.89
    ÃįÃį
    0.86
     largeDownload
    0.82
     audience
    0.79
     viewer
    0.79
     audiences
    0.78
     listeners
    0.76
    Activations Density 0.013%

    No Known Activations