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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. 4-RES-JB
    11. 973
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    INDEX
    Explanations

    mentions of proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Edison" and related entities

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

    No Comments

    Negative Logits
    ordan
    -0.84
    raq
    -0.80
    avan
    -0.78
    hee
    -0.77
    meal
    -0.77
    loads
    -0.77
    aws
    -0.75
    ebin
    -0.74
    aclysm
    -0.71
    dar
    -0.71
    POSITIVE LOGITS
     Edison
    0.93
     Dup
    0.78
    shire
    0.78
     Plant
    0.72
    Rated
    0.70
     Circuit
    0.68
     Devices
    0.68
    BuyableInstoreAndOnline
    0.65
     Franch
    0.64
     bulb
    0.64
    Activations Density 0.032%

    No Known Activations