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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. 5-RES-JB
    6. 10354
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    Explanations

    phrases related to titles or headings with emphasis

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to rules and agreements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.63
    aday
    -0.63
     ko
    -0.63
    onym
    -0.62
    ciplinary
    -0.61
    ische
    -0.60
    virt
    -0.59
    cca
    -0.59
    taboola
    -0.58
     Ars
    -0.58
    POSITIVE LOGITS
    URE
    1.20
    IES
    1.20
    LY
    1.19
    ING
    1.14
    URES
    1.13
     WITH
    1.12
    ATED
    1.12
    DIT
    1.12
    ATIONS
    1.12
    ATES
    1.10
    Activations Density 0.280%

    No Known Activations