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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. 4-RES-JB
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    keywords related to diverse topics such as food, technology, health, and politics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various topics and subjects discussed in a document

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

    No Comments

    Negative Logits
    åĮ
    -0.67
     alike
    -0.66
    abwe
    -0.65
    Lago
    -0.62
    cooked
    -0.60
    renheit
    -0.60
    isine
    -0.60
    thia
    -0.58
    ãĢĤ
    -0.58
     srf
    -0.58
    POSITIVE LOGITS
    iest
    1.09
    liest
    0.96
    osphere
    0.85
    hest
    0.85
     hypothesis
    0.77
     portion
    0.77
     aspect
    0.73
     analogy
    0.73
    est
    0.71
     question
    0.71
    Activations Density 1.315%

    No Known Activations