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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. 471
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    INDEX
    Explanations

    references to scientific research or studies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scientists and their collective attributes or actions

    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
     Tactics
    -0.72
    AAAA
    -0.71
    BuyableInstoreAndOnline
    -0.70
     Territories
    -0.69
     Pradesh
    -0.68
    teen
    -0.67
    loaded
    -0.67
     Yanuk
    -0.63
     Ukrain
    -0.61
    theless
    -0.61
    POSITIVE LOGITS
     scientist
    0.95
    ynthesis
    0.89
    ynt
    0.89
    sonian
    0.87
     studying
    0.85
    paces
    0.84
     scientists
    0.79
     biologist
    0.79
    ervative
    0.78
     researcher
    0.78
    Activations Density 0.033%

    No Known Activations