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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 10-RES-JB
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    Explanations

    phrases containing the expression "keep in mind"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "keep in mind."

    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
    oran
    -0.65
    ENN
    -0.62
    imately
    -0.60
     implicated
    -0.59
     Heist
    -0.58
    »Ĵ
    -0.57
    failed
    -0.56
    FG
    -0.55
     Sorceress
    -0.55
    rero
    -0.54
    POSITIVE LOGITS
     mind
    1.39
    mind
    1.09
     touch
    1.07
     minds
    0.98
     perspective
    0.92
     remembrance
    0.87
     consideration
    0.85
     constant
    0.83
     Mind
    0.81
     suspense
    0.79
    Activations Density 0.036%

    No Known Activations