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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. 7193
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    Explanations

    keywords or names related to specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to key terms or concepts

    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
    ews
    -0.77
    ATIONAL
    -0.76
     Surviv
    -0.73
    Interstitial
    -0.69
     Vaugh
    -0.66
    aciously
    -0.65
    ATIONS
    -0.65
    zona
    -0.65
    ORK
    -0.64
     flames
    -0.64
    POSITIVE LOGITS
    hole
    0.96
    */(
    0.96
    words
    0.88
    hoe
    0.88
    pad
    0.85
    word
    0.84
     Key
    0.84
    stone
    0.84
    chain
    0.83
    board
    0.81
    Activations Density 0.010%

    No Known Activations