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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. 10-RES-JB
    11. 6402
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    Explanations

    phrases related to detailed examination or investigation

    oai_token-act-pair · gpt-3.5-turbo

    words related to inspection and examination processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     extortion
    -0.61
    '/
    -0.59
     Decay
    -0.59
     extinction
    -0.58
     retaliate
    -0.55
     brunt
    -0.54
     Cer
    -0.53
    Js
    -0.53
    ulkan
    -0.52
     retaliation
    -0.52
    POSITIVE LOGITS
     reveals
    1.16
     indicates
    1.05
     suggests
    0.99
     showed
    0.94
     revealed
    0.92
     indicated
    0.90
     uncovered
    0.88
     confirms
    0.86
     unearthed
    0.85
     shows
    0.84
    Activations Density 0.172%

    No Known Activations