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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. 19164
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    INDEX
    Explanations

    phrases or sentences referencing narratives or personal accounts

    oai_token-act-pair · gpt-3.5-turbo

    references to storytelling

    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
    orneys
    -0.94
    ategory
    -0.80
    utterstock
    -0.79
    ateurs
    -0.78
    tarian
    -0.77
    owler
    -0.77
    ignt
    -0.77
    inking
    -0.75
    ojure
    -0.75
    upiter
    -0.74
    POSITIVE LOGITS
    telling
    0.98
     tale
    0.91
     arc
    0.88
     tales
    0.85
    tale
    0.85
     arcs
    0.85
     Tales
    0.82
     unfolding
    0.81
     Stories
    0.80
     stories
    0.78
    Activations Density 0.042%

    No Known Activations