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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. 5-RES-JB
    6. 12781
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    INDEX
    Explanations

    phrases indicating untapped or future capabilities

    oai_token-act-pair · gpt-3.5-turbo

    statements about potential or opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.84
    ograph
    -0.77
    chet
    -0.73
    ching
    -0.73
    cise
    -0.71
    cott
    -0.68
    cloth
    -0.68
    men
    -0.67
    ogie
    -0.65
    OTO
    -0.65
    POSITIVE LOGITS
    izons
    0.98
    ities
    0.91
    ibilities
    0.89
     implications
    0.83
    atility
    0.81
     usefulness
    0.81
     payoff
    0.80
     futures
    0.77
    urities
    0.77
    00007
    0.76
    Activations Density 0.024%

    No Known Activations