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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. 19619
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    Explanations

    mentions of the word "level" with varying degrees of relevance, as in different contexts and terms

    oai_token-act-pair · gpt-3.5-turbo

    references to levels or intensity of substances or conditions

    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
    ãģ¦
    -0.75
    SEE
    -0.75
    TERN
    -0.73
    natureconservancy
    -0.71
    é¾įå¥ij士
    -0.70
    Accessory
    -0.66
    print
    -0.64
    mic
    -0.62
    meal
    -0.62
    DAY
    -0.61
    POSITIVE LOGITS
    isions
    1.23
    ision
    1.08
    ille
    1.01
    lev
    1.00
    iev
    0.99
    itating
    0.99
    iation
    0.97
    ideos
    0.96
    iating
    0.96
    itational
    0.94
    Activations Density 0.008%

    No Known Activations