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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
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to biosciences or biological studies

    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
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    No Comments

    Negative Logits
    ı
    -0.80
    à¨
    -0.77
    à©
    -0.74
    brance
    -0.74
    lished
    -0.70
    ãģ®å®
    -0.69
     quarters
    -0.69
    ĸļ
    -0.67
    erer
    -0.65
    rying
    -0.65
    POSITIVE LOGITS
    aurus
    1.10
    ios
    1.00
    clerosis
    0.99
    ophical
    0.93
    perm
    0.93
    pec
    0.91
    iac
    0.90
    ité
    0.89
    ystem
    0.86
    erver
    0.86
    Activations Density 0.009%

    No Known Activations