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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
    11. 9544
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    Explanations

    terms with medical relevance, potentially related to specific conditions and treatments

    oai_token-act-pair · gpt-3.5-turbo

    components of names or terms related to universities and education

    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
    rency
    -0.74
    ãĥ¼ãĥĨ
    -0.73
    staking
    -0.68
    PDATE
    -0.64
    ça
    -0.64
     occas
    -0.62
     redes
    -0.62
    hement
    -0.62
     corrective
    -0.61
     CPI
    -0.61
    POSITIVE LOGITS
    horn
    0.71
    doi
    0.65
    Description
    0.64
    rical
    0.64
    ovych
    0.63
    sis
    0.62
    phia
    0.62
    akov
    0.62
     Picture
    0.62
    idae
    0.61
    Activations Density 0.471%

    No Known Activations