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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17818
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    Explanations

    phrases related to the style or method in which actions are performed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe the way actions are performed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dust
    -0.77
    rament
    -0.74
     Lyn
    -0.71
    ILL
    -0.69
    inka
    -0.68
    minster
    -0.67
    hemat
    -0.66
     Patri
    -0.66
    tek
    -0.65
    ouston
    -0.65
    POSITIVE LOGITS
    isms
    1.09
     manner
    0.85
     dictated
    0.83
     largeDownload
    0.78
    abus
    0.77
    able
    0.76
    ality
    0.76
     fashion
    0.74
    ably
    0.73
    ebin
    0.73
    Activations Density 0.017%

    No Known Activations