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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. 10-RES-JB
    6. 14577
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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to project timelines and completion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irin
    -0.63
    lighting
    -0.62
    osi
    -0.59
    ãĤ«
    -0.57
    riv
    -0.56
     Versus
    -0.55
    oris
    -0.53
    ramid
    -0.53
    gling
    -0.52
     distinguished
    -0.51
    POSITIVE LOGITS
     shortly
    1.41
     sooner
    1.41
     sometime
    1.30
     later
    1.27
     soon
    1.25
     tomorrow
    1.16
    later
    1.15
     promptly
    1.14
     anytime
    1.09
     afterward
    1.04
    Activations Density 0.642%

    No Known Activations