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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23306
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    Explanations

    company or organization names preceded by key information or updates

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ago
    -0.79
    fw
    -0.78
    hops
    -0.78
    ients
    -0.76
    hei
    -0.72
    atures
    -0.72
    encies
    -0.70
    aho
    -0.68
    ature
    -0.66
    Games
    -0.65
    POSITIVE LOGITS
     slightest
    1.15
     possibility
    1.10
     presence
    1.06
     inability
    1.05
     extent
    1.03
     emergence
    1.03
     absence
    1.02
     sheer
    0.99
     notion
    0.98
     aforementioned
    0.97
    Activations Density 0.149%

    No Known Activations