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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. 4466
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    INDEX
    Explanations

    mentions of matter and antimatter

    oai_token-act-pair · gpt-3.5-turbo

    references to matter and its properties in the universe

    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
    udeb
    -0.72
    olkien
    -0.70
    Interview
    -0.70
     Palestin
    -0.68
    asio
    -0.67
    ARP
    -0.67
    ESCO
    -0.66
    ä½ľ
    -0.64
    TI
    -0.64
     Pengu
    -0.64
    POSITIVE LOGITS
    matter
    0.94
    cules
    0.90
    lessly
    0.87
    flow
    0.86
    horn
    0.86
    flows
    0.85
    lessness
    0.80
    ional
    0.80
    bender
    0.80
    ername
    0.79
    Activations Density 0.027%

    No Known Activations