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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. 2-RES-JB
    11. 7389
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    Explanations

    terms related to specific concepts or entities, such as "cities", "gravity", "avalanches", or "fruit flies"

    oai_token-act-pair · gpt-3.5-turbo

    nouns and related terms that pertain to various societal and geographical entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vest
    -0.47
    ãģ¾
    -0.46
    Iv
    -0.45
    0000000000000000
    -0.45
    1007
    -0.43
     Leilan
    -0.43
    ãĤ®
    -0.42
    init
    -0.42
    041
    -0.42
     respectively
    -0.41
    POSITIVE LOGITS
    terness
    0.59
    anyahu
    0.58
    tainment
    0.57
    NetMessage
    0.56
    itbart
    0.55
    merce
    0.54
    reditary
    0.51
    phabet
    0.50
     Recomm
    0.50
    brids
    0.50
    Activations Density 1.210%

    No Known Activations