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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. 358
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    Explanations

    words related to the concept of deception or perception

    oai_token-act-pair · gpt-3.5-turbo

    words related to concepts and interpretations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     reconc
    -0.78
     slaughtered
    -0.70
    ©¶æ
    -0.68
     dining
    -0.68
     intest
    -0.67
     saf
    -0.62
     permitting
    -0.61
     sober
    -0.60
     solemn
    -0.60
    Ń·
    -0.60
    POSITIVE LOGITS
    icons
    1.28
    ional
    1.23
    ibles
    1.23
    ible
    1.22
    ual
    1.20
    ively
    1.18
    ually
    1.18
    ibility
    1.17
    acles
    1.17
    rons
    1.05
    Activations Density 0.007%

    No Known Activations