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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. 6906
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    Explanations

    conditional statements and code snippets

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and logical constructs in programming contexts

    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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    Negative Logits
    ãĥ³ãĤ¸
    -0.71
    ãĤª
    -0.68
    æ©
    -0.67
    forth
    -0.64
    egu
    -0.60
    èĪ
    -0.60
    è£
    -0.60
    Eye
    -0.58
    heimer
    -0.56
    CHO
    -0.55
    POSITIVE LOGITS
    rame
    1.30
    ornia
    1.08
     you
    1.06
    fy
    1.04
    ihad
    0.98
    config
    0.87
     desired
    0.85
     applicable
    0.82
     (!
    0.80
    ram
    0.78
    Activations Density 0.095%

    No Known Activations