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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. 2-RES-JB
    6. 8931
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    Explanations

    File paths and related commands typically found in programming or technical environments

    oai_token-act-pair · gpt-3.5-turbo

    negative values and coded references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incorpor
    -0.78
    Ò
    -0.68
     proport
    -0.67
    erville
    -0.66
    wcs
    -0.63
    kson
    -0.63
     lashed
    -0.63
     depart
    -0.62
     affection
    -0.62
     Hut
    -0.61
    POSITIVE LOGITS
    sama
    1.06
    mediated
    0.97
    cell
    0.96
    _-
    0.96
    type
    0.94
    style
    0.93
    =-=-=-=-=-=-=-=-
    0.91
    selection
    0.87
    related
    0.86
    timer
    0.85
    Activations Density 0.246%

    No Known Activations