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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. 3-RES-JB
    6. 2748
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    Explanations

    references to specific locations or countries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations and the concept of "sweeping issues under the rug."

    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
    orpor
    -0.82
    orporated
    -0.80
    illac
    -0.78
    eters
    -0.74
    eting
    -0.73
    arding
    -0.71
    izers
    -0.71
    tsky
    -0.70
    brates
    -0.70
    orp
    -0.70
    POSITIVE LOGITS
    ANCE
    0.75
    athan
    0.71
    aska
    0.65
     Rite
    0.64
    athi
    0.64
    votes
    0.64
    iless
    0.63
    avez
    0.62
    origin
    0.61
    Hop
    0.60
    Activations Density 0.024%

    No Known Activations