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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. 8-RES-JB
    11. 17016
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    Explanations

    specific patterns or sequences of letters

    oai_token-act-pair · gpt-3.5-turbo

    references to notable incidents or reactions related to individuals or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     viz
    -0.66
     behav
    -0.58
     answ
    -0.58
     furthermore
    -0.57
    artment
    -0.57
    yne
    -0.57
     thereby
    -0.56
     Secondly
    -0.56
     substituted
    -0.55
     Practices
    -0.55
    POSITIVE LOGITS
     intrigue
    0.79
     unforgettable
    0.78
    ocious
    0.71
     thrill
    0.69
     standout
    0.67
     surreal
    0.66
     breathtaking
    0.66
     fans
    0.66
     memorable
    0.65
     tantal
    0.64
    Activations Density 1.148%

    No Known Activations