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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. 7-RES-JB
    6. 4529
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    Explanations

    references to specific locations or destinations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific places or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     debuted
    -0.63
    factor
    -0.61
    vity
    -0.59
     tipped
    -0.58
    athi
    -0.58
     enters
    -0.58
     emphasized
    -0.58
     mustache
    -0.57
     differentiated
    -0.56
     premiered
    -0.56
    POSITIVE LOGITS
    venge
    0.79
    grounds
    0.78
     fray
    0.74
     whence
    0.72
     headquarters
    0.71
    ezvous
    0.71
     Headquarters
    0.71
     Depot
    0.70
    Offline
    0.70
     corrid
    0.70
    Activations Density 0.627%

    No Known Activations