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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. 6-RES-JB
    6. 3317
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    Explanations

    references to data storage units with a specific capacity, particularly in terms of gigabytes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to gigabit (data transmission rates)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.03
    tenance
    -0.76
    velt
    -0.76
     CONTROL
    -0.72
    matter
    -0.71
    66666666
    -0.66
    ÙIJ
    -0.64
    xtap
    -0.64
    issance
    -0.62
    Ô
    -0.62
    POSITIVE LOGITS
    abyte
    1.54
    abytes
    1.46
    apixel
    1.19
    abit
    1.07
    awatts
    0.96
    ging
    0.85
    rett
    0.84
    aton
    0.83
     gig
    0.83
    antic
    0.83
    Activations Density 0.013%

    No Known Activations