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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. 1-RES-JB
    11. 2033
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    Explanations

    words related to computer science and technology, specifically focusing on keywords related to malware protection, programming languages, and digital security

    oai_token-act-pair · gpt-3.5-turbo

    words related to animals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IDA
    -0.78
    soDeliveryDate
    -0.75
    BOOK
    -0.75
    bring
    -0.74
    Cross
    -0.73
    Bra
    -0.72
    Bloom
    -0.71
     Cosponsors
    -0.70
    lies
    -0.70
    NetMessage
    -0.69
    POSITIVE LOGITS
    imal
    1.19
    ayan
    0.93
    imum
    0.89
    itial
    0.87
    ists
    0.86
    arial
    0.86
    ogy
    0.86
    aneous
    0.85
    ocre
    0.85
    tarian
    0.84
    Activations Density 0.004%

    No Known Activations