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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. 0-RES-JB
    11. 12482
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    INDEX
    Explanations

    phrases mentioning an audience, specifically "viewers"

    oai_token-act-pair · gpt-3.5-turbo

    references to viewers and their experiences or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abin
    -0.70
    efer
    -0.64
    ought
    -0.60
     Barg
    -0.58
    ntil
    -0.58
     rash
    -0.58
    quart
    -0.58
    ache
    -0.58
    ------------
    -0.58
    inger
    -0.57
    POSITIVE LOGITS
     viewers
    3.74
     viewer
    2.97
     listeners
    2.46
     audiences
    2.28
     viewership
    2.18
     spectators
    2.07
     readers
    1.86
     audience
    1.80
     fans
    1.70
     listener
    1.63
    Activations Density 0.017%

    No Known Activations