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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. 494
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    INDEX
    Explanations

    mentions of specific organizations, companies, and publications

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of organizations or individuals

    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
     awa
    -0.65
     diam
    -0.57
    jriwal
    -0.56
     favourable
    -0.56
     hump
    -0.55
     rul
    -0.54
    avorite
    -0.54
     characteristic
    -0.53
     draining
    -0.53
     stride
    -0.53
    POSITIVE LOGITS
     Productions
    0.90
     Strategies
    0.88
     Labs
    0.84
     Records
    0.81
     Networks
    0.81
     Solutions
    0.79
    Nation
    0.79
     Magazine
    0.77
     Farms
    0.77
     Partners
    0.75
    Activations Density 0.586%

    No Known Activations