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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. 729
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    Explanations

    words related to difficulty, strangeness, and strong emotional reactions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express varying degrees of difficulty or strangeness in relation to experiences or situations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    idth
    -0.80
    eday
    -0.78
    ãĤº
    -0.76
    Own
    -0.68
    raviolet
    -0.64
     Deaths
    -0.64
    phia
    -0.63
    afia
    -0.62
    oway
    -0.62
    ilee
    -0.62
    POSITIVE LOGITS
     fascinating
    1.37
     amusing
    1.36
     puzzling
    1.30
     irresistible
    1.29
     attractive
    1.26
     intriguing
    1.25
     hilarious
    1.25
     interesting
    1.21
     difficult
    1.21
     incomprehensible
    1.21
    Activations Density 0.110%

    No Known Activations