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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. 23123
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    Explanations

    mentions of producers in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to producers in the context of film or media

    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
    bole
    -0.74
     Seas
    -0.70
    apo
    -0.68
    aber
    -0.68
    imb
    -0.67
    mere
    -0.66
    mia
    -0.66
    stones
    -0.63
    stone
    -0.63
     DeL
    -0.62
    POSITIVE LOGITS
    ducers
    0.82
     producer
    0.81
    Upload
    0.77
    Produ
    0.77
    rodu
    0.76
    ynthesis
    0.75
    furt
    0.74
     juices
    0.74
     producers
    0.73
     âĶľâĶĢâĶĢ
    0.71
    Activations Density 0.018%

    No Known Activations