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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. 6-RES-JB
    11. 24426
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    Explanations

    mentions of medical terms and specialized nouns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific or technical concepts, particularly in fields like biology and technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DW
    -0.66
    WI
    -0.66
    BBC
    -0.65
    wine
    -0.65
    WOOD
    -0.62
    RG
    -0.62
    Spot
    -0.61
    FK
    -0.61
    Emer
    -0.60
    Ire
    -0.60
    POSITIVE LOGITS
    nant
    0.89
    illance
    0.84
    monary
    0.82
    ascus
    0.79
    asma
    0.76
    cular
    0.76
    iferation
    0.76
    inery
    0.72
    ilit
    0.72
     Oxy
    0.71
    Activations Density 0.339%

    No Known Activations