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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. 2-RES-JB
    11. 15010
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    Explanations

    words related to libraries and books

    oai_token-act-pair · gpt-3.5-turbo

    references to books or literature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wet
    -0.70
     DOE
    -0.70
     Swim
    -0.69
    well
    -0.69
    pee
    -0.67
     straw
    -0.67
     overc
    -0.66
     Draper
    -0.65
     Aad
    -0.65
    notes
    -0.64
    POSITIVE LOGITS
    roup
    1.00
    isch
    0.88
    ique
    0.87
    ioch
    0.86
    iques
    0.86
    oppers
    0.86
    ops
    0.85
    amate
    0.85
    ocus
    0.82
    roups
    0.82
    Activations Density 0.017%

    No Known Activations