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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
    11. 15384
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    Explanations

    words related to medical conditions or medical procedures, particularly focusing on "gon" as a common fragment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to gonorrhea and its medical context

    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
    ITED
    -0.77
     Duchess
    -0.76
    æĺ¯
    -0.72
    DCS
    -0.71
    Assembly
    -0.70
    ãĤ·ãĥ£
    -0.70
    Recomm
    -0.70
    Availability
    -0.67
     chancellor
    -0.67
     Ducks
    -0.65
    POSITIVE LOGITS
    orr
    1.06
    umbers
    1.05
    zo
    1.04
    busters
    0.94
     gon
    0.84
    ority
    0.83
    vernment
    0.82
    adal
    0.81
    berra
    0.81
    azon
    0.81
    Activations Density 0.012%

    No Known Activations