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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. 6-RES-JB
    11. 13560
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    INDEX
    Explanations

    references to specific terms or entities, such as cryptocurrencies or people's names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of minerals or ores

    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
    ood
    -0.96
    aii
    -0.88
    INGTON
    -0.84
    kefeller
    -0.81
    recated
    -0.79
    tesy
    -0.77
    aido
    -0.77
    abulary
    -0.75
    wards
    -0.74
    nut
    -0.74
    POSITIVE LOGITS
    lli
    1.01
    chnology
    0.97
    geist
    0.75
    venants
    0.73
    eer
    0.71
    pec
    0.68
    fish
    0.65
    eers
    0.62
     Lerner
    0.61
     Royale
    0.60
    Activations Density 0.048%

    No Known Activations