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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. 10-RES-JB
    11. 4555
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    INDEX
    Explanations

    phrases related to the establishment or foundation of concepts, ideas, or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases or terms that signify foundational concepts or elements in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hm
    -0.81
    Downloadha
    -0.75
    justice
    -0.69
    eless
    -0.69
    athy
    -0.68
    HP
    -0.68
    verb
    -0.67
    ishly
    -0.65
    oops
    -0.65
    join
    -0.64
    POSITIVE LOGITS
     backbone
    1.58
     basis
    1.56
     cornerstone
    1.41
     foundation
    1.41
     bedrock
    1.29
     nucleus
    1.29
     impetus
    1.28
     inspiration
    1.26
     centerpiece
    1.23
     genesis
    1.22
    Activations Density 0.193%

    No Known Activations