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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. 16396
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    Explanations

    pieces of text related to investigations or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    key terms and phrases related to investigations and organizations

    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
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    No Comments

    Negative Logits
    asonable
    -0.64
    à¨
    -0.56
    ificant
    -0.53
    ãģĦ
    -0.53
    ogenous
    -0.52
    yss
    -0.52
    ictional
    -0.51
    inse
    -0.51
    stantial
    -0.50
    ãģ¾
    -0.50
    POSITIVE LOGITS
    Ĥİ
    0.59
    fecture
    0.49
     Vert
    0.47
    Ħ¢
    0.47
     caucuses
    0.47
     ambassador
    0.47
    itent
    0.46
     dismant
    0.45
     blacklist
    0.45
    ifies
    0.45
    Activations Density 1.207%

    No Known Activations