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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. 7-RES-JB
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    Explanations

    words related to beliefs and trusting in something or someone

    oai_token-act-pair · gpt-3.5-turbo

    expressions that convey belief or disbelief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Thumbnail
    -0.85
     sidel
    -0.68
    udo
    -0.67
    ateral
    -0.64
    yna
    -0.64
    levard
    -0.63
    ington
    -0.63
     reminder
    -0.63
    thumbnails
    -0.62
    ynski
    -0.62
    POSITIVE LOGITS
     paranormal
    0.71
     sincerity
    0.71
     supernatural
    0.71
     infall
    0.65
     independence
    0.63
     innate
    0.62
     someday
    0.62
     integrity
    0.62
     innocence
    0.61
     Messiah
    0.61
    Activations Density 0.148%

    No Known Activations