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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. 14490
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    Explanations

    excerpts or quotes from documents

    oai_token-act-pair · gpt-3.5-turbo

    references to excerpts or passages from documents

    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
    ggle
    -1.05
    thood
    -0.84
    gaard
    -0.80
    ggles
    -0.77
    mos
    -0.73
    LD
    -0.69
    ¯¯¯¯
    -0.68
    ceans
    -0.68
    uay
    -0.67
    STD
    -0.67
    POSITIVE LOGITS
     excerpts
    1.14
     excerpt
    1.06
     snippets
    1.02
     redacted
    0.85
    cerpt
    0.85
     guiActiveUn
    0.82
    aneous
    0.80
     quotes
    0.79
    aneously
    0.77
     summar
    0.77
    Activations Density 0.021%

    No Known Activations