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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 8366
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    Explanations

    neurons related to initializing code or software

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to initialization in programming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phe
    -0.77
    PH
    -0.74
    isSpecialOrderable
    -0.72
    QL
    -0.71
    CVE
    -0.66
    aez
    -0.66
    76561
    -0.65
    toe
    -0.65
    gery
    -0.64
    hunter
    -0.63
    POSITIVE LOGITS
     Init
    1.00
    itially
    0.99
    iation
    0.98
    itial
    0.90
    ially
    0.81
    rament
    0.80
    ational
    0.78
    ulus
    0.77
    ATION
    0.77
    TAIN
    0.77
    Activations Density 0.021%

    No Known Activations