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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. 24352
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    INDEX
    Explanations

    mentions of bandages

    oai_token-act-pair · gpt-3.5-turbo

    references to bands and band-related terms

    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
     margin
    -0.63
     bart
    -0.62
     Parish
    -0.61
    aminer
    -0.57
     Duc
    -0.57
     Martin
    -0.56
     luc
    -0.55
     expectancy
    -0.55
     Sebast
    -0.55
     matter
    -0.54
    POSITIVE LOGITS
    wagon
    1.36
    width
    1.29
    leader
    1.22
    camp
    1.16
    anas
    1.11
    ages
    1.06
    ictionary
    1.03
    aged
    0.98
    ido
    0.96
    leaders
    0.95
    Activations Density 0.025%

    No Known Activations