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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. 4-RES-JB
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    Explanations

    chemical compounds related to health and food

    oai_token-act-pair · gpt-3.5-turbo

    mentions of glycosate and gastric-related terms

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

    No Comments

    Negative Logits
    hood
    -0.74
     CPC
    -0.72
    umar
    -0.69
     Instruments
    -0.68
     Purg
    -0.66
    urities
    -0.64
    IED
    -0.63
    WARD
    -0.63
    skirts
    -0.62
     Mosque
    -0.62
    POSITIVE LOGITS
    opol
    0.89
    cephal
    0.79
    wyn
    0.77
    rect
    0.76
    odox
    0.76
    ios
    0.75
    raphic
    0.75
    cop
    0.75
    areth
    0.75
    ocon
    0.73
    Activations Density 0.016%

    No Known Activations