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

    the word "imagine" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve the concept of imagination or imagining scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dec
    -0.66
    Methods
    -0.65
    utenberg
    -0.64
    emetery
    -0.64
    ixt
    -0.64
    Notable
    -0.64
    ItemImage
    -0.63
    Interstitial
    -0.63
    Published
    -0.63
    âĵĺ
    -0.63
    POSITIVE LOGITS
     imagine
    1.21
    lihood
    1.06
    agine
    0.94
     Imagine
    0.88
     imagining
    0.86
    Imagine
    0.75
     imag
    0.72
     Yates
    0.71
    ĸļ
    0.71
     hypot
    0.70
    Activations Density 0.011%

    No Known Activations