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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. 575
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    INDEX
    Explanations

    hidden items or elements within a context

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "hidden" aspects or elements within various contexts

    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
    nia
    -0.72
    rehens
    -0.72
    asus
    -0.71
    umbn
    -0.71
     Pwr
    -0.69
    igel
    -0.68
    alon
    -0.68
    rontal
    -0.67
    adjusted
    -0.66
    create
    -0.66
    POSITIVE LOGITS
     gems
    0.97
     gem
    0.91
     depths
    0.88
     stash
    0.86
     hidden
    0.83
     behind
    0.83
     treasures
    0.82
     recess
    0.81
     treasure
    0.80
     beneath
    0.79
    Activations Density 0.029%

    No Known Activations