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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 10816
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    Explanations

    various terms related to specific occupations and professional activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to healthcare and pharmaceutical contexts

    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
    terms
    -0.47
    paying
    -0.44
    schild
    -0.42
    Lago
    -0.42
    æĢ
    -0.42
    ossier
    -0.41
    smoking
    -0.40
    eligible
    -0.40
    iland
    -0.39
    oppable
    -0.39
    POSITIVE LOGITS
    terness
    0.58
    natureconservancy
    0.50
     Morty
    0.42
    !--
    0.41
     guiActiveUn
    0.41
    SourceFile
    0.41
    etsu
    0.40
     halluc
    0.39
     nood
    0.38
     cel
    0.37
    Activations Density 6.058%

    No Known Activations