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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. 11-RES-JB
    11. 13217
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    Explanations

    words related to obstacles or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "imp," suggesting a focus on implications or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.77
    mberg
    -0.68
    brates
    -0.67
     Ribbon
    -0.64
    brate
    -0.64
    576
    -0.62
    BOOK
    -0.60
    baum
    -0.58
     Millennium
    -0.58
    blance
    -0.58
    POSITIVE LOGITS
    romptu
    1.59
    regn
    1.52
    ossibly
    1.42
    ulsive
    1.37
    otent
    1.37
    urities
    1.35
    assion
    1.32
    ropri
    1.24
    oster
    1.22
    orter
    1.22
    Activations Density 0.021%

    No Known Activations