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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. 3-RES-JB
    11. 23679
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    INDEX
    Explanations

    positive concepts or sources of motivation

    oai_token-act-pair · gpt-3.5-turbo

    references to inspiration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ington
    -0.77
    ECD
    -0.68
    Ħ¢
    -0.65
     Strait
    -0.65
    eg
    -0.65
    rosse
    -0.64
    ewater
    -0.64
     Canad
    -0.63
    ells
    -0.63
    erm
    -0.63
    POSITIVE LOGITS
     inspiration
    1.20
    iration
    1.15
     muse
    1.01
     inspir
    0.93
     inspired
    0.92
     inspiring
    0.83
     Insp
    0.77
    andise
    0.75
     prompt
    0.74
     inspires
    0.72
    Activations Density 0.015%

    No Known Activations