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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. 3-RES-JB
    11. 23257
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    INDEX
    Explanations

    mentions of specific locations or sites

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or sites

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ornia
    -0.82
    BuyableInstoreAndOnline
    -0.76
     unfocusedRange
    -0.74
     Leilan
    -0.72
    atures
    -0.71
    olyn
    -0.69
    icipated
    -0.66
     actionGroup
    -0.66
    cia
    -0.65
    chen
    -0.62
    POSITIVE LOGITS
     site
    0.87
     sites
    0.85
     Site
    0.82
    builders
    0.80
    keeper
    0.78
    builder
    0.76
    yard
    0.73
     locations
    0.73
     location
    0.72
    pages
    0.72
    Activations Density 0.021%

    No Known Activations