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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. 9-RES-JB
    11. 1907
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    Explanations

    words related to false beliefs or misconceptions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with false beliefs and misconceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.85
    gre
    -0.71
    zens
    -0.64
    single
    -0.64
    ossus
    -0.62
    enum
    -0.61
    entin
    -0.60
    amen
    -0.60
    izont
    -0.59
    intern
    -0.58
    POSITIVE LOGITS
     regarding
    1.24
     about
    1.22
     concerning
    1.21
    mith
    1.09
     ABOUT
    1.04
     pertaining
    0.98
     uttered
    0.94
    uggest
    0.92
     relating
    0.91
     About
    0.88
    Activations Density 0.245%

    No Known Activations