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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. 8-RES-JB
    11. 830
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    Explanations

    titles of articles or headings in documents

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Prediction Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
    john
    -0.62
    gate
    -0.61
    ks
    -0.61
    de
    -0.59
    roll
    -0.58
    leigh
    -0.58
    hex
    -0.58
    ghai
    -0.56
    bc
    -0.56
    port
    -0.55
    POSITIVE LOGITS
    OUS
    1.46
    ISH
    1.44
    URA
    1.44
    NESS
    1.44
    ING
    1.43
    IST
    1.42
    ITY
    1.41
    IZ
    1.41
    ERS
    1.40
    ISM
    1.40
    Activations Density 0.204%

    No Known Activations