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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. 16116
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    Explanations

    words or acronyms related to organizations or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to the abbreviation "HS," which likely indicates a specific organization or service entity

    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
    fman
    -0.76
     Samoa
    -0.75
    osi
    -0.75
    bidden
    -0.70
    parts
    -0.69
    verages
    -0.69
    nesota
    -0.69
    selves
    -0.67
    standing
    -0.67
    redo
    -0.67
    POSITIVE LOGITS
    HS
    1.14
    ocial
    1.08
    ospital
    0.95
    OOL
    0.93
    Ds
    0.92
    HT
    0.91
    IFT
    0.91
    INESS
    0.88
    LV
    0.86
    OME
    0.86
    Activations Density 0.008%

    No Known Activations