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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. 9-RES-JB
    11. 2664
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    oai_token-act-pair · gpt-3.5-turbo

    statements relating to the concept of "everything" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sever
    -0.68
     Awakens
    -0.67
    iframe
    -0.66
    most
    -0.64
    avan
    -0.62
    many
    -0.62
     Increases
    -0.62
    few
    -0.61
    edia
    -0.60
    thren
    -0.60
    POSITIVE LOGITS
     accounted
    0.95
     crammed
    0.93
     equally
    0.92
     except
    0.89
     welcome
    0.86
     interconnected
    0.84
     vying
    0.78
     geared
    0.77
     interchangeable
    0.77
     imaginable
    0.76
    Activations Density 0.209%

    No Known Activations