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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 'funnel'

    oai_token-act-pair · gpt-3.5-turbo

    references to "funnel" in various contexts, particularly related to processes or structures

    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
    Extreme
    -0.88
    Rated
    -0.82
    Dur
    -0.80
    Constructed
    -0.77
    lihood
    -0.76
    ARK
    -0.72
    Very
    -0.69
     Ath
    -0.68
     Wear
    -0.65
    Self
    -0.64
    POSITIVE LOGITS
     funnel
    1.65
    nels
    1.26
    eering
    0.96
     disg
    0.91
    glers
    0.88
     siph
    0.87
    nel
    0.85
     overfl
    0.84
    nell
    0.83
    uggle
    0.83
    Activations Density 0.006%

    No Known Activations