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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. 3-RES-JB
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    terms related to healthcare and health policy

    oai_token-act-pair · gpt-3.5-turbo

    references to health care and related policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.90
     IGN
    -0.86
    ãĤ¨ãĥ«
    -0.81
    wcsstore
    -0.81
    âĸ¬
    -0.73
    iple
    -0.71
     Berm
    -0.71
     sqor
    -0.71
    ãĥ³ãĤ¸
    -0.70
    KEN
    -0.69
    POSITIVE LOGITS
    giving
    1.18
     providers
    1.13
    amacare
    1.12
    taker
    1.03
     healthcare
    1.02
     provider
    0.98
    care
    0.98
    haar
    0.96
     clinics
    0.93
     services
    0.92
    Activations Density 0.027%

    No Known Activations