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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. 3-RES-JB
    11. 6460
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    INDEX
    Explanations

    words containing the substring "ling"

    oai_token-act-pair · gpt-3.5-turbo

    words related to language and its nuances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ·ãĥ£
    -0.87
    âķIJâķIJ
    -0.86
    éĹĺ
    -0.86
    DonaldTrump
    -0.81
    HCR
    -0.79
    ãĥ¤
    -0.77
    Ô
    -0.75
    ÃįÃį
    -0.73
    ricanes
    -0.73
    awaru
    -0.73
    POSITIVE LOGITS
     Ling
    1.14
     ling
    1.05
    ering
    0.91
    ua
    0.89
     Yao
    0.85
    ophone
    0.81
     tong
    0.80
    heng
    0.80
    itudinal
    0.80
    oing
    0.79
    Activations Density 0.006%

    No Known Activations