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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. 301
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    Explanations

    phrases containing words related to protest or criticism

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix "di-" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "di" or " di"

    Explanation Uploaded by User
    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
    Not in Any Lists

    No Comments

    Negative Logits
    witz
    -0.85
     Rudd
    -0.71
    leigh
    -0.69
     Dragonbound
    -0.68
    bilt
    -0.67
    ORTS
    -0.66
    ãģĨ
    -0.66
    INGTON
    -0.66
    LER
    -0.65
    sburg
    -0.64
    POSITIVE LOGITS
    urnal
    1.32
    ocese
    1.23
    abol
    1.21
    abolic
    1.16
    agon
    1.09
    ablo
    1.03
    agram
    0.95
    ppy
    0.89
    atomic
    0.84
    abase
    0.84
    Activations Density 0.017%

    No Known Activations