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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. 13853
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    Explanations

    the word "Cho" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to specific terms related to choices and decision-making

    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
    sburg
    -0.74
    night
    -0.65
    doors
    -0.65
    gdala
    -0.64
    master
    -0.63
     Aram
    -0.61
     Powers
    -0.60
     Monarch
    -0.60
    stadt
    -0.59
    magic
    -0.59
    POSITIVE LOGITS
    osing
    1.42
    pper
    1.34
    ices
    1.31
    pped
    1.25
    ppy
    1.23
    oser
    1.21
    pping
    1.19
    ppers
    1.10
    oses
    1.08
    osen
    1.07
    Activations Density 0.048%

    No Known Activations