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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. 2-RES-JB
    11. 7119
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    Explanations

    chunks or strips of material

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of physical substances or materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Delivery
    -0.69
    NOR
    -0.69
    Hur
    -0.69
    RY
    -0.62
    oÄŁ
    -0.62
     VID
    -0.62
    Myth
    -0.61
    Prosecut
    -0.60
    ATH
    -0.60
    Brother
    -0.60
    POSITIVE LOGITS
    poons
    1.48
    mith
    1.34
    paces
    1.25
    pring
    1.22
    hips
    1.20
    ilver
    1.19
    ongs
    1.18
    uggest
    1.17
    peed
    1.17
    heet
    1.14
    Activations Density 0.134%

    No Known Activations