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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 24067
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    Explanations

    phrases related to experiences and interactions over time

    oai_token-act-pair · gpt-3.5-turbo

    references to years of experience and contributions in a collaborative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ives
    -0.65
    eness
    -0.64
    cock
    -0.62
    orescence
    -0.60
    ariat
    -0.57
    tumblr
    -0.57
    nikov
    -0.55
    verett
    -0.55
    iquid
    -0.55
    hoe
    -0.54
    POSITIVE LOGITS
     viz
    0.72
    é¾įå¥ij士
    0.69
     ancestors
    0.60
    )]
    0.60
    luster
    0.59
     previous
    0.59
     predecessors
    0.57
     kitchens
    0.57
     occasions
    0.57
     prior
    0.57
    Activations Density 0.912%

    No Known Activations