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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
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    Explanations

    terms related to supply chain and logistics

    oai_token-act-pair · gpt-3.5-turbo

    references to food supply and community production

    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
     constitu
    -0.41
    cknow
    -0.38
     rul
    -0.38
    paio
    -0.37
    ongyang
    -0.36
     skelet
    -0.34
    laws
    -0.33
     Citiz
    -0.32
    href
    -0.32
     sovere
    -0.32
    POSITIVE LOGITS
    ibly
    0.41
    arious
    0.40
     guiActiveUn
    0.40
    cliffe
    0.39
    irtual
    0.39
    UF
    0.37
    emonium
    0.37
    ãĤ©
    0.37
    ible
    0.36
    irection
    0.36
    Activations Density 5.877%

    No Known Activations