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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. 22632
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    Explanations

    references to streaming services

    oai_token-act-pair · gpt-3.5-turbo

    references to streaming media services

    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
    geries
    -0.90
    cule
    -0.77
    vette
    -0.77
     misunderstanding
    -0.73
    bara
    -0.72
    neg
    -0.71
    chy
    -0.70
    uria
    -0.69
    cycles
    -0.69
    selage
    -0.68
    POSITIVE LOGITS
     streaming
    0.99
     Streaming
    0.94
     streams
    0.90
     streamed
    0.85
     Stream
    0.80
     Spotify
    0.80
     Roku
    0.78
    ENDED
    0.74
     Hulu
    0.74
     Downloads
    0.73
    Activations Density 0.010%

    No Known Activations