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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. 9-RES-JB
    6. 7929
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    INDEX
    Explanations

    results or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to results from various studies, surveys, or tests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.76
    Versions
    -0.69
    ospace
    -0.69
    abilia
    -0.69
    orthy
    -0.68
    cko
    -0.68
    eller
    -0.66
    worm
    -0.65
    upp
    -0.65
    ãĤ¼ãĤ¦ãĤ¹
    -0.64
    POSITIVE LOGITS
     deliberations
    1.02
     negotiations
    0.97
     conversations
    0.95
     consultations
    0.93
     discussions
    0.90
     investigations
    0.88
     exhaustive
    0.87
     experimentation
    0.86
     painstaking
    0.86
     investigation
    0.84
    Activations Density 0.138%

    No Known Activations