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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. 1727
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    Explanations

    phrases related to monitoring or observation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attention and monitoring actions or events

    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
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    Negative Logits
    rame
    -0.60
     basket
    -0.60
     Bog
    -0.59
     Conspiracy
    -0.58
     fog
    -0.57
     cheat
    -0.56
     Loft
    -0.56
     spaghetti
    -0.56
    ammy
    -0.55
    addon
    -0.55
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.77
    sson
    0.74
    actionDate
    0.72
     SetFontSize
    0.70
    éĹĺ
    0.67
    ãĥĹ
    0.67
    ãĤ¯
    0.67
    ãĥīãĥ©
    0.65
    vier
    0.64
    代
    0.64
    Activations Density 0.132%

    No Known Activations