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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. 9-RES-JB
    11. 13280
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    Explanations

    dual entities or concepts that are closely related or associated in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    the word "and" in various forms of use throughout the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.98
    flows
    -0.87
    profits
    -0.87
    lems
    -0.85
    pees
    -0.80
    ernels
    -0.79
    lees
    -0.79
    grades
    -0.78
    aws
    -0.78
    ouses
    -0.78
    POSITIVE LOGITS
     consequ
    1.00
     bracelet
    0.97
     subsequent
    0.96
     microscope
    0.95
     amplifier
    0.94
     logo
    0.93
     palate
    0.92
     namesake
    0.92
     interpreter
    0.91
     accompanying
    0.90
    Activations Density 0.269%

    No Known Activations