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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. 6519
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    INDEX
    Explanations

    locations and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and institutions

    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
    etheless
    -0.73
    theless
    -0.53
     yourselves
    -0.51
    gotten
    -0.46
    anwhile
    -0.45
     mainland
    -0.45
    withstanding
    -0.45
    RESULTS
    -0.43
     unanswered
    -0.43
     Pwr
    -0.42
    POSITIVE LOGITS
     Trail
    0.55
     Resort
    0.55
     Collection
    0.54
    cko
    0.53
     Blend
    0.51
     Rd
    0.50
     Designs
    0.50
     Ribbon
    0.50
     Ranch
    0.50
     Kits
    0.50
    Activations Density 1.407%

    No Known Activations