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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. 2-RES-JB
    11. 24503
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    INDEX
    Explanations

    mentions of granular substances or measurements, specifically focusing on the term "gran"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to granular substances and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.77
     Toll
    -0.69
    hovah
    -0.69
     Laugh
    -0.67
     Standing
    -0.66
     Forth
    -0.65
    unct
    -0.64
     Gutenberg
    -0.64
    @#&
    -0.62
     Tonight
    -0.61
    POSITIVE LOGITS
    ular
    1.10
     gran
    1.05
    ularity
    1.03
    ulates
    0.95
    acies
    0.92
    ules
    0.89
    acy
    0.81
    itiz
    0.80
    ule
    0.80
    ulated
    0.80
    Activations Density 0.009%

    No Known Activations