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

    various forms of the word "vapor"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vapor and its physical properties or effects

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    shire
    -0.79
     Barcl
    -0.76
     Cosponsors
    -0.71
    --------------------------------------------------------
    -0.70
    Else
    -0.67
    alter
    -0.66
     Else
    -0.66
     Cla
    -0.64
    Person
    -0.62
     Governors
    -0.61
    POSITIVE LOGITS
     vapor
    1.18
    aceous
    1.02
    izers
    1.01
    iculture
    0.99
     Vapor
    0.98
    wave
    0.96
     vap
    0.96
    apor
    0.94
    ategory
    0.94
    izer
    0.93
    Activations Density 0.006%

    No Known Activations