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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. 4490
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    Explanations

    words related to the concept of being tenured

    oai_token-act-pair · gpt-3.5-turbo

    words related to secure or controlled situations

    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
    ITNESS
    -0.80
    ingham
    -0.76
    soDeliveryDate
    -0.72
    ADS
    -0.69
    aird
    -0.61
    strings
    -0.57
    Cho
    -0.56
    Parser
    -0.55
     OPS
    -0.55
    ishers
    -0.55
    POSITIVE LOGITS
    ures
    0.91
    tsky
    0.85
    ure
    0.80
    URE
    0.78
    ured
    0.77
    ulic
    0.76
    nces
    0.76
    witz
    0.76
    uring
    0.75
    ula
    0.75
    Activations Density 0.015%

    No Known Activations