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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. 4644
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    INDEX
    Explanations

    mentions of specific plans or projects

    oai_token-act-pair · gpt-3.5-turbo

    references to various plans or planning initiatives

    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
    Downloadha
    -0.84
     vain
    -0.79
    avez
    -0.78
    uliffe
    -0.74
    wrapper
    -0.73
    ibaba
    -0.72
    kai
    -0.70
    Assembly
    -0.69
    wcsstore
    -0.64
    worldly
    -0.63
    POSITIVE LOGITS
    etary
    0.94
    escape
    0.93
    ning
    0.92
    isphere
    0.90
    ner
    0.90
     Plan
    0.90
    ets
    0.89
     Parenthood
    0.87
    ters
    0.84
    plan
    0.83
    Activations Density 0.016%

    No Known Activations